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<v Robert Sims>Well, good afternoon, ladies and gentlemen, and welcome.

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<v Robert Sims>My name's Robert Sims.

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<v Robert Sims>I'm your Master of Ceremonies for today,

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<v Robert Sims>and it's a great pleasure to be able to welcome you

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<v Robert Sims>to the 2016 Adelaide Festival of Ideas

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<v Robert Sims>and today's session, which is looking at the future.

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<v Robert Sims>Before we begin, I want to acknowledge

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<v Robert Sims>that today we're gathered on the traditional country

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<v Robert Sims>of the Kaurna people of the Adelaide Plains.

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<v Robert Sims>We recognise and respect their cultural heritage,

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<v Robert Sims>their beliefs and relationship with the land.

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<v Robert Sims>We acknowledge that these are of continuing importance

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<v Robert Sims>to the Kaurna people living today,

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<v Robert Sims>and we respect their elders past and present.

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<v Robert Sims>Before we begin, I do also just want to take us through

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<v Robert Sims>a few housekeeping matters for today.

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<v Robert Sims>Can you please ensure that you switch off your mobile phone

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<v Robert Sims>during today's session?

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<v Robert Sims>You are welcome.

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<v Robert Sims>I'm going to ask you to connect with the festival,

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<v Robert Sims>and you can tweet and go on Facebook.

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<v Robert Sims>The tweet handle is at ADLFOY.

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<v Robert Sims>The hashtag is hashtag ADLFOY,

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<v Robert Sims>and the Instagram is also ADLFOY.

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<v Robert Sims>So easy to remember.

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<v Robert Sims>Definitely log on after the recording.

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<v Robert Sims>Also, please note that recordings of any kind

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<v Robert Sims>are not permitted during this session,

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<v Robert Sims>but today's session,

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<v Robert Sims>will be recorded by Radio Adelaide

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<v Robert Sims>for broadcast and future broadcasts.

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<v Robert Sims>In terms of the format today,

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<v Robert Sims>we will hear from Dr Fiona Kerr,

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<v Robert Sims>and then we'll have an opportunity

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<v Robert Sims>for you to ask questions

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<v Robert Sims>and to have a bit more of a discussion

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<v Robert Sims>at the end of the session.

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<v Robert Sims>Dr Fiona Kerr combines a half-time academic role

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<v Robert Sims>in the areas of neural and systems complexity

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<v Robert Sims>with public speaking and consulting to companies,

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<v Robert Sims>industry sectors,

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<v Robert Sims>and governments.

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<v Robert Sims>She advises leaders on how to build better brains

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<v Robert Sims>and businesses,

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<v Robert Sims>as well as an artificial intelligence,

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<v Robert Sims>and the neuropsychological impact of humans interfacing

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<v Robert Sims>with both humans and technologies.

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<v Robert Sims>I'm really interested to hear Dr Kerr's presentation today.

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<v Robert Sims>Please join me in welcoming her to the stage.

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<v Speaker 2>Thank you.

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<v Speaker 2>Hello.

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<v Speaker 3>Hello.

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<v Speaker 2>I'm not used to being corralled into one space.

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<v Speaker 2>I like to walk around.

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<v Speaker 2>Now, I'm going to put this down,

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<v Speaker 2>because I'm a lot smaller than you are.

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<v Speaker 2>So, in thinking about what shapes us

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<v Speaker 2>and what we can shape,

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<v Speaker 2>I thought of a number of things,

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<v Speaker 2>and I'd like to share some of them with you today,

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<v Speaker 2>and then have a discussion about what keeps you up at night,

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<v Speaker 2>and what you're thinking about, in terms of what you're thinking about.

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<v Speaker 2>So, what's going to shape us,

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<v Speaker 2>and what we should be doing.

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<v Speaker 2>And we probably, in just about all of those areas,

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<v Speaker 2>should be doing more,

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<v Speaker 2>because we have a huge capacity to shape both ourselves

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<v Speaker 2>and the society and the world in which we live.

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<v Speaker 2>So, I thought I'd take you through from the individual to the maximum,

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<v Speaker 2>because while I was trying to think of this,

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<v Speaker 2>I had just been interviewed about my own kind of weird,

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<v Speaker 2>I guess, work history,

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<v Speaker 2>and I was thinking about a couple of them,

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<v Speaker 2>and I thought of a couple of the things that shaped me.

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<v Speaker 2>And they were strange kind of things,

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<v Speaker 2>like having, well, starting in, I was going to be a geneticist,

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<v Speaker 2>and then within a year, I was looking at witchcraft,

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<v Speaker 2>which fascinated me.

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<v Speaker 2>It was a half subject I had to pick up,

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<v Speaker 2>and so I ended up in anthropology.

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<v Speaker 2>And there I got to be able to look at the religious

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<v Speaker 2>and the social and the, I guess, the economic aspects

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<v Speaker 2>of how humans built their societies,

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<v Speaker 2>which fascinated me.

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<v Speaker 2>And after another couple of things that I did,

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<v Speaker 2>I was in power generation.

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<v Speaker 2>And because I was female and not an engineer,

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<v Speaker 2>they didn't know what to do with me.

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<v Speaker 2>And so I ended up in overalls for three years,

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<v Speaker 2>because luckily my father had shaped me

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<v Speaker 2>by being a very technical Scot

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<v Speaker 2>who by about 10 years old said to me,

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<v Speaker 2>right, there's a toaster, take it apart, fix it.

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<v Speaker 2>You know, see what's wrong with it and see what you can do with it.

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<v Speaker 2>So I loved technical things,

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<v Speaker 2>so I was very happy to learn to change transformers

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<v Speaker 2>and that kind of stuff.

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<v Speaker 2>But what I realised was when I was with people,

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<v Speaker 2>the trust that we built in doing things together

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<v Speaker 2>led me into industrial relations and strategy.

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<v Speaker 2>And I learnt about the connectivity of people

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<v Speaker 2>and the fact that if you do work really well together,

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<v Speaker 2>that you increase that capability

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<v Speaker 2>and you increase your capacity to understand other people.

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<v Speaker 2>And you seem to increase the capability to actually be able

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<v Speaker 2>to do complex things as well together.

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<v Speaker 2>So I got fascinated.

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<v Speaker 2>And in working then in organisations and strategy,

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<v Speaker 2>it kind of led me back to university

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<v Speaker 2>and engineering and complex systems, how do they work.

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<v Speaker 2>But that still didn't answer the neuroscience

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<v Speaker 2>of what's happening in people's brains.

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<v Speaker 2>Do they have different brains and can we grow our brains?

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<v Speaker 2>So that's where I am.

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<v Speaker 2>So you never know what's going to shape you and where you go.

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<v Speaker 2>But if you are curious and proactive in a lot of things,

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<v Speaker 2>then you can go places you never thought you'd end up.

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<v Speaker 2>So I want to start with your brain individually.

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<v Speaker 2>And what fascinates me is that all of us

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<v Speaker 2>are shaping our brains all the time.

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<v Speaker 2>So for your whole lives.

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<v Speaker 2>So yes, we start off with 100 billion neurons

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<v Speaker 2>and we end with hopefully close to 100 billion neurons,

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<v Speaker 2>but they're not the same ones.

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<v Speaker 2>And constantly what you're doing with your brain

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<v Speaker 2>is you're pruning it and you're reorienting it

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<v Speaker 2>and you're reorienting some parts of it to do things differently,

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<v Speaker 2>neuroplasticity, and you're growing new brain, neurogenesis.

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<v Speaker 2>And you prune all the time.

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<v Speaker 2>You prune things that you don't use.

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<v Speaker 2>So what you pay attention to and what you're interested in

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<v Speaker 2>and what you learn about grows those parts of your brain.

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<v Speaker 2>And what you don't pay attention to gets pruned, disappears.

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<v Speaker 2>So you shape the way that you think.

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<v Speaker 2>And you can grow a new brain through, just for you to know,

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<v Speaker 2>individually, through exercise, through sleep,

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<v Speaker 2>so get enough sleep, even through what you eat.

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<v Speaker 2>Our second brain is our gut, 100 million neurons.

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<v Speaker 2>And our microbiome, it makes our neurotransmitters,

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<v Speaker 2>it changes how we feel.

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<v Speaker 2>So it does an awful lot of things like that.

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<v Speaker 2>Also, learning new things.

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<v Speaker 2>So think about it like real estate that you have to build

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<v Speaker 2>for brand new concepts to put it in a new place.

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<v Speaker 2>Most of all, we shape our brain and we grow our brain

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<v Speaker 2>through interconnection.

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<v Speaker 2>So connecting with other human beings.

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<v Speaker 2>And it's because we're hardwired to connect.

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<v Speaker 2>So I got really fascinated in exactly what happens

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<v Speaker 2>when you connect with another human being.

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<v Speaker 2>So even the first time that we met today,

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<v Speaker 2>we've been looking at each other face to face.

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<v Speaker 2>Then we get spindle neurons that go off,

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<v Speaker 2>mirror neurons that go off.

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<v Speaker 2>We get dynamic resonance.

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<v Speaker 2>We get all sorts of chemicals starting to go around in our system.

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<v Speaker 2>And we start to build a neurophysiological system

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<v Speaker 2>that's a very simple map of the other person.

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<v Speaker 2>And it begins a trust process.

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<v Speaker 2>And those sorts of things don't happen

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<v Speaker 2>when you're not face to face.

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<v Speaker 2>So there's actually an awful lot of importance

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<v Speaker 2>in being in the same space as other human beings.

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<v Speaker 2>We have something called interpersonal neural synchronization.

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<v Speaker 2>So it does mean that you actually physiologically

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<v Speaker 2>synchronize parts of your brain.

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<v Speaker 2>And I was talking a couple of days ago on leadership

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<v Speaker 2>and talked about the fact that a good leader

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<v Speaker 2>can increase that synchronization with people that they lead.

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<v Speaker 2>And it's not because they can talk more or they know more.

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<v Speaker 2>The good leaders that do it are the ones that have good quality communication.

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<v Speaker 2>They're able to build an understanding and a story

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<v Speaker 2>in someone else's head and share that and take them with them.

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<v Speaker 2>So it's a fascinating capacity that we've got.

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<v Speaker 2>It also changes our thinking.

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<v Speaker 2>I think it's a good thing for us in the neurophysiological way

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<v Speaker 2>to do with healing and to do with all sorts of things to do with health.

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<v Speaker 2>So I'm lucky enough to also work with the health sciences department.

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<v Speaker 2>We've just finished, or just nearly finished,

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<v Speaker 2>a year-long study on the neurophysiological effect

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<v Speaker 2>of touch and eye gaze on healing.

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<v Speaker 2>And we have a remarkable impact on each other.

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<v Speaker 2>when we physiologically interact, when we directly interact.

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<v Speaker 2>So I'll give you one example because people always seem to like this one.

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<v Speaker 2>So if I'm your nurse, you've come in to the hospital

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<v Speaker 2>and we meet for the first time.

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<v Speaker 2>The fact that I'm looking at you and if I take your hand to take your pulse,

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<v Speaker 2>then I start off your C fibres in your skin.

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<v Speaker 2>The C fibres are moderated by the emotional parts of your brain.

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<v Speaker 2>And what happens then is not only have we finished,

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<v Speaker 2>started that spindle mirror neuron connection by the eye gaze,

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<v Speaker 2>but we also, oh, you've started an afferent connection

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<v Speaker 2>because I've touched your skin.

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<v Speaker 2>And that begins that trust process that I talked about.

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<v Speaker 2>That doesn't happen if when you come in the door, I'm looking at my iPad to put

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<v Speaker 2>in your details and I clip a little thing

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<v Speaker 2>on your phone.

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<v Speaker 2>I'm looking at your finger to take the oxygen in your blood.

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<v Speaker 2>It doesn't start.

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<v Speaker 2>So why is that important?

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<v Speaker 2>You go in, you have your operation, you come out and you're feeling okay.

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<v Speaker 2>So you can have the robot nurse running around and giving you your lunch.

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<v Speaker 2>But then you either get pain or you're anxious about something else.

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<v Speaker 2>What then happens is your physiology changes.

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<v Speaker 2>So up goes your cortisol.

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<v Speaker 2>There's all sorts of things that start to change in your body.

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<v Speaker 2>And you need a human being.

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<v Speaker 2>Because if I come into the room,

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<v Speaker 2>and you know me, and you see me around because I've been on shift,

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<v Speaker 2>and you trust me, then an amazing thing happens.

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<v Speaker 2>When I look at you, the retinas in our eyes align.

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<v Speaker 2>The right hemispheres of our brains synchronize.

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<v Speaker 2>And I can calm you down.

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<v Speaker 2>Your amygdala actually changes phase.

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<v Speaker 2>So that's a neurophysiological effect that does not happen with technology.

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<v Speaker 2>It's also why you can do that with your child or with another person.

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<v Speaker 2>When they're upset and you're a trusted other,

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<v Speaker 2>and you directly gaze at them, especially if you also can hold them.

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<v Speaker 2>Because touch is a huge communication vector.

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<v Speaker 2>So we have all sorts of things that work with us and shape us and assist us.

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<v Speaker 2>And often reflect on what that means for the growing technological world that we live in.

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<v Speaker 2>So I also look at the interaction of humans.

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<v Speaker 2>And technologies.

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<v Speaker 2>It's one of the things that I work with, with Dr. Jordan Nguyen, who's an associate.

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<v Speaker 2>And there's fantastic things that can be done.

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<v Speaker 2>I was part of building a buggy for a young boy who could only move his eyes.

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<v Speaker 2>And he wanted to drive.

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<v Speaker 2>So there's a catalyst becoming superhuman.

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<v Speaker 2>You've probably seen me for about two minutes.

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<v Speaker 2>Jordan's the gorgeous young one you see for 95% of the time.

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<v Speaker 2>And so those sorts of things are amazing.

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<v Speaker 2>It's not that I don't think.

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<v Speaker 2>Technology has huge promise.

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<v Speaker 2>Medical technology, technologies in industries.

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<v Speaker 2>But I think we have to be wise in how we work with them.

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<v Speaker 2>So I spend time in organizations looking at technologies.

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<v Speaker 2>Because very often we get, I guess, fooled or sucked into thinking that they make us really highly productive.

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<v Speaker 2>You know, having 24-7 email and messages and all of those sorts of things will mean that we can do a lot more.

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<v Speaker 2>Well, we do different things.

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<v Speaker 2>Because we tend to be very busy.

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<v Speaker 2>But deep work and thinking deeply about things, having that time, has to actually be done offline.

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<v Speaker 2>Because our brains go into something called abstraction.

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<v Speaker 2>It's a process whereby we can take out all of the information in specialist areas that we've got.

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<v Speaker 2>And almost kind of lay it out and see it and think about it and reconnect it and change it around in our brains to get new patterns.

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<v Speaker 2>And that doesn't happen when you're flicking off and on to email.

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<v Speaker 2>And when you're thinking about it.

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<v Speaker 2>When you hear the ding of a message.

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<v Speaker 2>That actually, because we're so addicted to that, that actually sets dopamine going.

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<v Speaker 2>And what happens in your brain is if you have been deep in thought and then off goes an email alert, even if you think that you've ignored it,

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<v Speaker 2>what your brain actually does is all of those pieces of information that's unpacked for you to be able to do something, it has to pack up.

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<v Speaker 2>And it unpacks the prioritization judgment that you have to make about it.

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<v Speaker 2>And it unpacks the prioritization judgment that you have to make about whether or not you'll even look at that email.

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<v Speaker 2>And then you decide you won't.

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<v Speaker 2>So it packs that away.

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<v Speaker 2>And it has to unpack again all of that information that you've been looking at.

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<v Speaker 2>So when you want to do deep work, go offline.

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<v Speaker 2>Don't look at your technology.

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<v Speaker 2>So technology is brilliant there used appropriately.

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<v Speaker 2>So some of the things I've been sort of reflecting on are a critical part of the interaction, the connection with people, is empathy.

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<v Speaker 2>And empathy is one of the things that allows us to build a really healthy, I guess, individual group and society.

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<v Speaker 2>And it changes the way that we make decisions.

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<v Speaker 2>So empathy's got a fascinating physiological path in your brain.

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<v Speaker 2>If you're dealing with a complex problem, then what your brain says is there is information that I haven't got, so I need to go away and find it.

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<v Speaker 2>And it might be tucked in my long-term memory or my knowledge.

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<v Speaker 2>And I'm going to now go and find it.

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<v Speaker 2>And I'm going to go and look for it.

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<v Speaker 2>And as soon as you go into empathy, your motor neuron system kicks you into something called discernment mode.

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<v Speaker 2>And that's like a different set of filters that dip down into your knowledge and come back up with completely different information.

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<v Speaker 2>And that information is based on consequences, and it has a long-term range of thinking about things.

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<v Speaker 2>So instead of what do I want to do right here, right now, just for me?

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<v Speaker 2>I've started to think differently about how I judge what's important in this decision.

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<v Speaker 2>And that changes all sorts of things that we ponder and all sorts of decisions that we're going to make.

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<v Speaker 2>And when we start to think about the fact that empathy is really critical and that interconnection becomes critical,

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<v Speaker 2>what does that mean for the way that we do connect more and more by technology?

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<v Speaker 2>So some of the things that I've been wondering about are,

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<v Speaker 2>the scale at individual scale.

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<v Speaker 2>So if we take things like teenagers, which luckily mine are past teenagers now,

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<v Speaker 2>but I see a lot of them around the university, and they're always looking at their phones.

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<v Speaker 2>And if you sit with them, they get 50 beeps a day on these kind of messages.

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<v Speaker 2>And I wonder how on earth they'd go into deep mode and learn anything.

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<v Speaker 2>But what's even more worrying is when they're teenagers, especially because their brains are pruning,

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<v Speaker 2>they're pruning out the information.

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<v Speaker 2>They're pruning out connections with their parents, and they're pruning in huge connections with their peers.

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<v Speaker 2>So they become even more desperate to connect with people of their own age.

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<v Speaker 2>And they've got social media, which is, yes, meant to be the really good way to connect.

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<v Speaker 2>And so they can be on there all of the time.

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<v Speaker 2>But they're not getting that face-to-face empathic connection that does all those beautiful neurophysiological things in their bodies.

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<v Speaker 2>So you start to feel alone, even though you have lots and lots of people that are around you.

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<v Speaker 2>That you're not looking at.

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<v Speaker 2>And that you have people that you're consistently talking to on your phone.

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<v Speaker 2>And so you can get hundreds of messages.

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<v Speaker 2>And you message even more because you want that connection.

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<v Speaker 2>But it doesn't give you that direct connection.

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<v Speaker 2>It doesn't give you that physiological impact of being with someone else.

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<v Speaker 2>So it's a really important aspect.

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<v Speaker 2>Is it linked to the increase in depression?

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<v Speaker 2>Is it linked to the decrease in resilience?

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<v Speaker 2>Is it linked to a number of things that we're seeing as trends?

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<v Speaker 2>There's interesting studies in girls between, especially girls between about 8 and 12,

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<v Speaker 2>that are coming out because of the amount of time that the parent is on the phone just saying,

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<v Speaker 2>hang on, I'll just check an email.

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<v Speaker 2>Hang on, I'll just check a message.

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<v Speaker 2>And that consistent, no, this is more important here and now than you are,

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<v Speaker 2>is starting to lower the self-confidence of that age of child.

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<v Speaker 2>You know, when you're a little baby,

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<v Speaker 2>I guess you can yell.

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<v Speaker 2>When you're a peer or a partner, then you can say, put your phone down if we're having dinner.

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<v Speaker 2>But you can't do it at that age.

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<v Speaker 2>And I've heard awful things every now and then.

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<v Speaker 2>When I talk, someone will come up afterwards.

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<v Speaker 2>There was a midwife a few weeks ago that came up and said, well, you're absolutely right.

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<v Speaker 2>And I'm now watching young mums with babies of a day.

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<v Speaker 2>And they've got the baby on the breast in one hand and they've got their phone in the other hand.

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<v Speaker 2>And I'm thinking, oh, I've got to do this.

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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<v Speaker 2>What is this?

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00:18:04.860 --> 00:18:05.060
<v Speaker 2>What is this?

335
00:18:05.400 --> 00:18:06.100
<v Speaker 2>What is this?

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00:18:06.180 --> 00:18:06.700
<v Speaker 2>What is this?

337
00:18:06.860 --> 00:18:07.620
<v Speaker 2>What is this?

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00:18:08.240 --> 00:18:09.080
<v Speaker 2>What is this?

339
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<v Speaker 2>What is this?

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<v Speaker 2>maybe, but in doing that, you make all these changes.

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<v Speaker 2>So that was one of the things I was starting to think about

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<v Speaker 2>with the isolation. A couple of other things, I guess, if we

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<v Speaker 2>start to kind of come up wider is, I work in a number of countries around

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<v Speaker 2>and with a few governments, and there are different levels

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<v Speaker 2>of connectivity with governments in things like decision making,

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<v Speaker 2>in engagement, and

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<v Speaker 2>it just seems to me that the governments that

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<v Speaker 2>are more openly connecting with people in those

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<v Speaker 2>countries tend to make more of the long-range decisions.

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<v Speaker 2>So could it even be that if we

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<v Speaker 2>get the lack of that connection and the

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<v Speaker 2>lack of that engagement in where we're going and what we do as a society, we

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<v Speaker 2>also get less of those long-range consequential decision

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<v Speaker 2>making, because we're certainly seeing

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<v Speaker 2>here that we've got a lot of the short-range decision making.

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<v Speaker 2>And we reward that as well. As a complex system,

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<v Speaker 2>a lot of the politicians are rewarded for right here, right now

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<v Speaker 2>making a decision. Don't give the credit to the next cycle. And so

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<v Speaker 2>we end up only building these really, really short-term things that are never

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<v Speaker 2>going to actually gain in momentum and capacity. And we've

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<v Speaker 2>got a media that just gives us that kind of dumbed-down little short bits as well.

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<v Speaker 2>So we don't get that really

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<v Speaker 2>long view, and it's very difficult then to be making those

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<v Speaker 2>decisions. So we get steerage that's short-term

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<v Speaker 2>and short-lens in what we're trying to do.

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<v Speaker 2>We've also got the health and medical sector. So as I said, I work in technology.

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<v Speaker 2>And Jordan and I work in looking at how people interact directly with

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<v Speaker 2>technologies. So what turns on, what doesn't turn on when you look at a screen?

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<v Speaker 2>I would never have an interview over a screen for a job.

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<v Speaker 2>And what turns on with a robot,

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<v Speaker 2>what turns on with virtual reality and augmented reality.

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<v Speaker 2>And we have to get smart about things like robot nurses

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<v Speaker 2>and robot carers, even smart bots.

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<v Speaker 2>Because just as we talked about with the retinal eye lock,

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<v Speaker 2>it's one thing to have a robot carer

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<v Speaker 2>with someone who's in an old-aged centre

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<v Speaker 2>or someone who's in a hospital

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<v Speaker 2>and they're quite happy.

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<v Speaker 2>But once they're under stress, it's called allostasis.

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<v Speaker 2>So if they're stressed, if they're upset, if they're in pain,

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<v Speaker 2>then they need that human being.

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<v Speaker 2>So if we go back to the hospital analogy,

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<v Speaker 2>it's actually more effective, economically effective,

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<v Speaker 2>to have the nurse be able to come and sit

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<v Speaker 2>and hold the hand of someone at that time for five minutes

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<v Speaker 2>than it is to have them running off doing things

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<v Speaker 2>and give the person either a tablet

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<v Speaker 2>– the pharmaceuticals are quite happy –

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<v Speaker 2>or a technological interface.

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<v Speaker 2>The technology companies are quite happy.

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<v Speaker 2>But even profit-wise, it's better for the hospital

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<v Speaker 2>because what they get is a patient who will heal faster

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<v Speaker 2>because part of what happens when you interact directly

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<v Speaker 2>is your serotonin goes up.

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<v Speaker 2>Your serotonin is directly related to growth hormones

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<v Speaker 2>and enzymes to do with healing.

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<v Speaker 2>So it actually means that that five,

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<v Speaker 2>five minutes of calming the patient down

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<v Speaker 2>is better for the patient.

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00:21:37.080 --> 00:21:38.880
<v Speaker 2>They will heal faster.

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00:21:39.820 --> 00:21:42.880
<v Speaker 2>The nurse is happy because the lovely thing about humans

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00:21:42.880 --> 00:21:46.340
<v Speaker 2>is when the patient is increasing their oxytocin

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00:21:46.340 --> 00:21:49.560
<v Speaker 2>and decreasing their cortisol and increasing their dopamine,

404
00:21:49.820 --> 00:21:50.940
<v Speaker 2>so is the nurse.

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<v Speaker 2>We are cyclic.

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<v Speaker 2>We feed off each other.

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<v Speaker 2>So the nurse is happier,

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<v Speaker 2>and she feels like she does things that are relevant in her job.

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<v Speaker 2>So she will stay longer.

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<v Speaker 2>So that's it.

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<v Speaker 2>That's an intelligent use of technology versus humans.

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<v Speaker 2>In aged care, it's the same.

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<v Speaker 2>When do we use the robot?

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<v Speaker 2>When do we use PARO, the little seal that you can hug?

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<v Speaker 2>Interestingly, even with them,

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<v Speaker 2>yes, it's fine to give a little robot seal to somebody,

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00:22:19.240 --> 00:22:22.540
<v Speaker 2>but once they get past a certain level of dementia,

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<v Speaker 2>they know it's not real.

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00:22:23.940 --> 00:22:24.800
<v Speaker 2>They don't know what it is,

420
00:22:24.820 --> 00:22:25.900
<v Speaker 2>and they actually throw it at the wall.

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<v Speaker 2>They don't like them.

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<v Speaker 2>So we've got to be, again, smart in how we use that.

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<v Speaker 2>Then we can get back to the patient.

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<v Speaker 2>We can get larger and think about big data.

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<v Speaker 2>I think that we're sleepwalking through why we collect big data,

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<v Speaker 2>who collects it, how it's used.

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00:22:44.420 --> 00:22:45.640
<v Speaker 2>Big data is fantastic.

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00:22:46.020 --> 00:22:48.320
<v Speaker 2>If anyone's watched, has anyone seen Hans Rosling's work,

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<v Speaker 2>Gapminder 1?

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<v Speaker 2>Watch it.

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<v Speaker 2>It's really good.

432
00:22:52.460 --> 00:22:55.300
<v Speaker 2>Hans Rosling is the pinup boy of how to use big data well.

433
00:22:55.760 --> 00:22:59.640
<v Speaker 2>So what he does is he takes huge amounts of data,

434
00:22:59.880 --> 00:23:02.780
<v Speaker 2>and he looks at patterns across the world,

435
00:23:02.800 --> 00:23:03.400
<v Speaker 2>and he actually,

436
00:23:03.420 --> 00:23:06.520
<v Speaker 2>he actually looks at it in terms of solving the world's problems.

437
00:23:07.600 --> 00:23:13.120
<v Speaker 2>So he'll look at things like in a developing country,

438
00:23:13.320 --> 00:23:16.200
<v Speaker 2>is it better to get people healthier first,

439
00:23:16.420 --> 00:23:17.520
<v Speaker 2>or to try and inject funds,

440
00:23:17.740 --> 00:23:19.720
<v Speaker 2>or to actually educate girls,

441
00:23:19.980 --> 00:23:22.280
<v Speaker 2>and then look at patterns in all of them

442
00:23:22.280 --> 00:23:24.420
<v Speaker 2>and get answers to those sorts of questions.

443
00:23:25.820 --> 00:23:27.460
<v Speaker 2>What do we collect it though for?

444
00:23:27.580 --> 00:23:30.860
<v Speaker 2>We collect most of our big data for profit, 95%.

445
00:23:33.420 --> 00:23:34.520
<v Speaker 2>A little bit to fence.

446
00:23:35.520 --> 00:23:38.380
<v Speaker 2>So we just happily go on while people build algorithms

447
00:23:38.380 --> 00:23:41.900
<v Speaker 2>to give us lots and lots of adverts on the side of Google and Facebook

448
00:23:41.900 --> 00:23:42.940
<v Speaker 2>and all those sorts of things.

449
00:23:43.000 --> 00:23:46.040
<v Speaker 2>We could be collecting that for such good purposes,

450
00:23:46.780 --> 00:23:47.740
<v Speaker 2>but we don't.

451
00:23:47.760 --> 00:23:50.580
<v Speaker 2>So we have to get proactive as a society

452
00:23:51.040 --> 00:23:53.760
<v Speaker 2>in terms of what that big data should be,

453
00:23:53.980 --> 00:23:56.600
<v Speaker 2>how we clean it, how we use it.

454
00:23:56.680 --> 00:23:59.080
<v Speaker 2>Because one of the problems with big data is you never get clean data.

455
00:23:59.580 --> 00:24:02.040
<v Speaker 2>Someone else cleans it up and gives it to you.

456
00:24:03.380 --> 00:24:07.600
<v Speaker 2>And if you look at how you collect big data as a complex system,

457
00:24:07.800 --> 00:24:08.860
<v Speaker 2>there are always outliers,

458
00:24:09.000 --> 00:24:11.840
<v Speaker 2>there are always bits that don't fit in that kind of bell curve.

459
00:24:12.080 --> 00:24:14.760
<v Speaker 2>They're the really important things in any system

460
00:24:14.760 --> 00:24:18.040
<v Speaker 2>because they're the things that show us where we're going.

461
00:24:18.260 --> 00:24:20.560
<v Speaker 2>They're the perking information on the edges

462
00:24:20.560 --> 00:24:22.080
<v Speaker 2>that show us where the future is.

463
00:24:22.280 --> 00:24:23.600
<v Speaker 2>And they get trimmed off.

464
00:24:24.580 --> 00:24:27.420
<v Speaker 2>And also algorithms shape data and just give it to us.

465
00:24:27.660 --> 00:24:30.380
<v Speaker 2>So when we go on and we search a web,

466
00:24:30.640 --> 00:24:32.020
<v Speaker 2>we're searching the patterns.

467
00:24:32.040 --> 00:24:32.620
<v Speaker 2>We're searching the pattern that we're given.

468
00:24:32.760 --> 00:24:34.700
<v Speaker 2>We just get more and more of the same thing.

469
00:24:34.860 --> 00:24:37.120
<v Speaker 2>That is not the way to be creative or innovative.

470
00:24:37.620 --> 00:24:39.640
<v Speaker 2>It also stops abstraction in your brain

471
00:24:39.640 --> 00:24:42.400
<v Speaker 2>because it's the sideways stuff that you bump into

472
00:24:42.400 --> 00:24:46.260
<v Speaker 2>that makes you have those aha type of moments in looking at things.

473
00:24:47.760 --> 00:24:50.980
<v Speaker 2>And giving us more and more of the same thing actually narrows us down.

474
00:24:51.060 --> 00:24:52.040
<v Speaker 2>It doesn't make us smarter.

475
00:24:52.220 --> 00:24:53.400
<v Speaker 2>We just go through more data.

476
00:24:54.440 --> 00:24:56.860
<v Speaker 2>And in fact, it's a really good way to just make sure

477
00:24:56.860 --> 00:24:58.600
<v Speaker 2>that we're only looking at certain things.

478
00:24:59.400 --> 00:25:00.560
<v Speaker 2>A number of years ago,

479
00:25:00.560 --> 00:25:04.600
<v Speaker 2>one of the search engines had good information

480
00:25:04.600 --> 00:25:07.060
<v Speaker 2>about the fact that this changes your brain.

481
00:25:07.240 --> 00:25:08.160
<v Speaker 2>Because it is changing.

482
00:25:08.180 --> 00:25:09.340
<v Speaker 2>Technology shapes us.

483
00:25:09.400 --> 00:25:10.700
<v Speaker 2>We just talked about that in the beginning.

484
00:25:11.440 --> 00:25:14.540
<v Speaker 2>And the more we get shaped in terms of getting given things

485
00:25:14.540 --> 00:25:15.980
<v Speaker 2>and being able to hop over things,

486
00:25:16.240 --> 00:25:18.900
<v Speaker 2>the more superficial and fast our brains become.

487
00:25:19.040 --> 00:25:21.740
<v Speaker 2>Because your neurons will reset every six seconds if you let them.

488
00:25:21.800 --> 00:25:23.060
<v Speaker 2>They get distracted really easily.

489
00:25:23.240 --> 00:25:24.220
<v Speaker 2>We've got novelty detectors.

490
00:25:24.520 --> 00:25:25.840
<v Speaker 2>We've got all sorts of things that go off.

491
00:25:26.640 --> 00:25:29.120
<v Speaker 2>So if we can get lured into just skipping around,

492
00:25:29.320 --> 00:25:30.380
<v Speaker 2>that's what our brains do.

493
00:25:30.380 --> 00:25:33.820
<v Speaker 2>We have to actually apply willpower to dig down

494
00:25:33.820 --> 00:25:35.900
<v Speaker 2>and to research and to hold thoughts

495
00:25:35.900 --> 00:25:38.940
<v Speaker 2>and to really explore them and to go deep.

496
00:25:40.040 --> 00:25:43.620
<v Speaker 2>And it's much more profitable for search engines

497
00:25:43.620 --> 00:25:45.840
<v Speaker 2>to have us up here searching across the top

498
00:25:45.840 --> 00:25:47.660
<v Speaker 2>and skipping around and looking at lots of things.

499
00:25:48.200 --> 00:25:51.960
<v Speaker 2>And there was data on the fact that it did change brains years ago.

500
00:25:52.080 --> 00:25:55.820
<v Speaker 2>And there was almost choices in those kind of search engines

501
00:25:55.820 --> 00:25:56.960
<v Speaker 2>about which way they could go.

502
00:25:57.420 --> 00:25:59.800
<v Speaker 2>It's better for our brains if they make us dig.

503
00:25:59.800 --> 00:26:02.620
<v Speaker 2>It's more profitable for them if we hop around.

504
00:26:02.860 --> 00:26:04.100
<v Speaker 2>So guess which way we've gone.

505
00:26:05.580 --> 00:26:07.900
<v Speaker 2>Artificial intelligence is the last thing I'll touch on.

506
00:26:09.560 --> 00:26:12.440
<v Speaker 2>And the interesting thing I guess about that is, again,

507
00:26:12.640 --> 00:26:16.260
<v Speaker 2>some people are worried about where that's going.

508
00:26:16.380 --> 00:26:18.240
<v Speaker 2>And we could have a huge discussion about that

509
00:26:18.240 --> 00:26:18.960
<v Speaker 2>because it's fascinating.

510
00:26:20.080 --> 00:26:22.360
<v Speaker 2>Do we have empathic robots now? No.

511
00:26:22.680 --> 00:26:24.780
<v Speaker 2>Could you ever have them? That's very debatable.

512
00:26:24.980 --> 00:26:26.080
<v Speaker 2>Does it even matter?

513
00:26:26.120 --> 00:26:28.300
<v Speaker 2>Because some people are saying it's the rules and regulations

514
00:26:28.300 --> 00:26:29.780
<v Speaker 2>around how you get up there.

515
00:26:29.780 --> 00:26:30.000
<v Speaker 2>I mean, I think I'm not going to be the one

516
00:26:30.000 --> 00:26:31.180
<v Speaker 2>who's going to get artificial intelligence to work

517
00:26:31.180 --> 00:26:34.960
<v Speaker 2>that is going to be either the end of us or not.

518
00:26:36.820 --> 00:26:40.180
<v Speaker 2>Because artificial intelligence is goal-driven

519
00:26:41.340 --> 00:26:44.020
<v Speaker 2>and it's very much an optimiser.

520
00:26:44.080 --> 00:26:49.340
<v Speaker 2>So whatever goal you give it, it will optimise trying to do.

521
00:26:49.620 --> 00:26:52.500
<v Speaker 2>There's a joke about something called the paperclip maximiser

522
00:26:52.500 --> 00:26:55.920
<v Speaker 2>which basically says you tell artificial intelligence

523
00:26:55.920 --> 00:26:57.900
<v Speaker 2>to make as many paperclips as it can

524
00:26:58.760 --> 00:26:59.760
<v Speaker 2>and it will go away.

525
00:26:59.760 --> 00:27:01.000
<v Speaker 2>It's not so about taking everything apart,

526
00:27:01.180 --> 00:27:03.020
<v Speaker 2>including every part of the solar system,

527
00:27:03.120 --> 00:27:04.800
<v Speaker 2>to make paperclips.

528
00:27:04.900 --> 00:27:07.700
<v Speaker 2>It doesn't not like you, it will just take you apart

529
00:27:07.700 --> 00:27:10.300
<v Speaker 2>because bits of you might be in the paperclip.

530
00:27:10.540 --> 00:27:13.620
<v Speaker 2>And so it's a really interesting kind of process.

531
00:27:13.760 --> 00:27:16.360
<v Speaker 2>So it doesn't actually matter whether it's got feelings or not.

532
00:27:16.500 --> 00:27:19.360
<v Speaker 2>But the thing that we need to be good at is we actually need

533
00:27:19.360 --> 00:27:21.760
<v Speaker 2>to be good at partnering with artificial intelligence.

534
00:27:23.840 --> 00:27:27.540
<v Speaker 2>Because there's gigantic capacity in artificial intelligence

535
00:27:27.540 --> 00:27:32.560
<v Speaker 2>to help us build a very positive and useful world,

536
00:27:32.640 --> 00:27:33.700
<v Speaker 2>but we need to get smart.

537
00:27:34.120 --> 00:27:38.200
<v Speaker 2>So even things like 20 years ago, probably more,

538
00:27:39.520 --> 00:27:44.480
<v Speaker 2>I was in General Motors and robotics was there in the late 80s.

539
00:27:44.800 --> 00:27:46.440
<v Speaker 2>And as their industrial relations manager,

540
00:27:46.520 --> 00:27:48.540
<v Speaker 2>that was pretty hairy because they didn't want them.

541
00:27:49.560 --> 00:27:52.580
<v Speaker 2>But there were decisions then to make about what does that mean

542
00:27:52.580 --> 00:27:53.640
<v Speaker 2>for the jobs of the guys.

543
00:27:53.720 --> 00:27:57.120
<v Speaker 2>So we've always had those sorts of problems or issues or changes.

544
00:27:58.460 --> 00:28:02.120
<v Speaker 2>But now we have to be really smart because they're larger

545
00:28:03.220 --> 00:28:07.060
<v Speaker 2>and we don't seem to be, still don't seem to be good, I think,

546
00:28:07.140 --> 00:28:10.640
<v Speaker 2>at putting together the technical and the social change.

547
00:28:11.320 --> 00:28:15.100
<v Speaker 2>So partnering with AI means that as we get huge shifts

548
00:28:15.100 --> 00:28:17.840
<v Speaker 2>in what people do in terms of their work,

549
00:28:18.000 --> 00:28:19.500
<v Speaker 2>we have to think about that.

550
00:28:19.620 --> 00:28:21.300
<v Speaker 2>And we often blur the lines.

551
00:28:21.440 --> 00:28:23.860
<v Speaker 2>People say to me, oh, because we've got artificial intelligence

552
00:28:23.860 --> 00:28:27.520
<v Speaker 2>more and more, then that's why we've got short-term jobs.

553
00:28:27.540 --> 00:28:28.300
<v Speaker 2>Does short-term contract work?

554
00:28:28.520 --> 00:28:29.080
<v Speaker 2>No, it's not.

555
00:28:29.600 --> 00:28:31.780
<v Speaker 2>That's transposing to completely different things.

556
00:28:32.460 --> 00:28:35.800
<v Speaker 2>There are countries that make decisions that are quite different.

557
00:28:36.000 --> 00:28:38.180
<v Speaker 2>They have technology that's very advanced,

558
00:28:38.420 --> 00:28:43.640
<v Speaker 2>but they also decide to build a society, not an economy.

559
00:28:44.320 --> 00:28:48.500
<v Speaker 2>So what they also have is a completely different way

560
00:28:48.500 --> 00:28:49.560
<v Speaker 2>of looking at work.

561
00:28:50.300 --> 00:28:53.900
<v Speaker 2>And so that's where you can start getting into social steerage.

562
00:28:54.180 --> 00:28:57.340
<v Speaker 2>Do we have the kinds of ways of building contracts?

563
00:28:57.540 --> 00:29:01.100
<v Speaker 2>Do we have contracts that are not short-term and independent completely

564
00:29:01.100 --> 00:29:03.520
<v Speaker 2>of the way that you can live a good life?

565
00:29:03.740 --> 00:29:07.280
<v Speaker 2>If you're in a society where everything is a short-term contract

566
00:29:07.280 --> 00:29:09.360
<v Speaker 2>and it means that you can't earn money,

567
00:29:09.440 --> 00:29:11.460
<v Speaker 2>you can't put your kids through school, you can't get a mortgage,

568
00:29:11.580 --> 00:29:12.740
<v Speaker 2>you can't do all of that sort of thing,

569
00:29:12.840 --> 00:29:16.240
<v Speaker 2>then what's the use of using technology in that,

570
00:29:16.380 --> 00:29:19.780
<v Speaker 2>apart from the profit of the specific companies that are doing it?

571
00:29:20.600 --> 00:29:22.360
<v Speaker 2>So we have to get smart about employment.

572
00:29:22.700 --> 00:29:24.260
<v Speaker 2>We have to get smart about contracts.

573
00:29:25.220 --> 00:29:27.060
<v Speaker 2>It's why some countries are looking at

574
00:29:27.540 --> 00:29:28.020
<v Speaker 2>the global wage.

575
00:29:28.640 --> 00:29:30.280
<v Speaker 2>Because I think if you think back,

576
00:29:30.380 --> 00:29:32.940
<v Speaker 2>and human beings aren't really good at that kind of long-range,

577
00:29:32.940 --> 00:29:34.660
<v Speaker 2>none of us are, long-range patterns,

578
00:29:35.640 --> 00:29:37.360
<v Speaker 2>probably over 80 years ago,

579
00:29:37.800 --> 00:29:41.900
<v Speaker 2>what you did wasn't the worth of what you were.

580
00:29:42.160 --> 00:29:46.740
<v Speaker 2>So maybe we're going to get back out of what you were and is what you are.

581
00:29:46.860 --> 00:29:48.180
<v Speaker 2>It's an interesting process.

582
00:29:49.160 --> 00:29:54.060
<v Speaker 2>And we also have to think about the education

583
00:29:54.060 --> 00:29:55.480
<v Speaker 2>that we're giving to people,

584
00:29:56.060 --> 00:29:58.380
<v Speaker 2>about what's important in the future.

585
00:29:58.580 --> 00:29:59.620
<v Speaker 2>Because if you think about it,

586
00:30:00.480 --> 00:30:04.560
<v Speaker 2>technically, maximum productivity means nobody's got a job.

587
00:30:06.460 --> 00:30:08.000
<v Speaker 2>So where are we going?

588
00:30:08.040 --> 00:30:10.140
<v Speaker 2>And how proactive are we being in this?

589
00:30:11.900 --> 00:30:14.860
<v Speaker 2>So there's some of the things that I think about,

590
00:30:15.040 --> 00:30:17.800
<v Speaker 2>and I'm sure there's some of the things that you think about.

591
00:30:18.660 --> 00:30:21.440
<v Speaker 2>So I'd like to have a conversation with you now

592
00:30:21.440 --> 00:30:23.880
<v Speaker 2>about what that means to you

593
00:30:23.880 --> 00:30:25.460
<v Speaker 2>and what you've been thinking about.

594
00:30:25.480 --> 00:30:26.840
<v Speaker 2>Thank you.

595
00:30:27.980 --> 00:30:28.460
<v Speaker 2>APPLAUSE

596
00:30:30.720 --> 00:30:32.660
<v Robert Sims>Thank you, Dr Kerr.

597
00:30:32.660 --> 00:30:35.340
<v Robert Sims>And what a fascinating presentation that was.

598
00:30:35.440 --> 00:30:39.680
<v Robert Sims>I was really listening very intently to what you were talking about,

599
00:30:39.740 --> 00:30:41.840
<v Robert Sims>and so much of it, I think, resonated with me

600
00:30:41.840 --> 00:30:43.960
<v Robert Sims>and I'm sure with people here in the audience as well

601
00:30:43.960 --> 00:30:45.100
<v Robert Sims>in terms of how we're going.

602
00:30:45.440 --> 00:30:48.960
<v Robert Sims>Perhaps to warm us up, I might ask the first question.

603
00:30:49.740 --> 00:30:52.840
<v Robert Sims>You talked a lot about social media

604
00:30:52.840 --> 00:30:55.460
<v Robert Sims>and the impact that that has on attention seekers.

605
00:30:55.460 --> 00:31:03.100
<v Robert Sims>What is important is how important is that

606
00:31:03.100 --> 00:31:03.580
<v Robert Sims>in terms of how important is that

607
00:31:03.580 --> 00:31:09.240
<v Robert Sims>in terms of how important is that

608
00:31:09.240 --> 00:31:25.440
<v Robert Sims>in terms of how important is that

609
00:31:25.440 --> 00:31:27.900
<v Speaker 2>when you listen to...

610
00:31:27.900 --> 00:31:29.400
<v Speaker 2>Sorry, I'll start again.

611
00:31:29.540 --> 00:31:32.360
<v Speaker 2>When we have a look at the amount of times

612
00:31:32.360 --> 00:31:34.000
<v Speaker 2>that you mention yourself

613
00:31:34.540 --> 00:31:37.480
<v Speaker 2>in a conversation that you have face-to-face with someone,

614
00:31:37.640 --> 00:31:39.080
<v Speaker 2>it's low 30%.

615
00:31:39.920 --> 00:31:41.420
<v Speaker 2>When you have a look statistically

616
00:31:41.420 --> 00:31:43.600
<v Speaker 2>at the amount of times that you mention yourself

617
00:31:43.600 --> 00:31:46.200
<v Speaker 2>over social media, it's high 80s.

618
00:31:47.180 --> 00:31:48.880
<v Speaker 2>So it really is all about me.

619
00:31:49.860 --> 00:31:51.740
<v Speaker 2>And it does shift that.

620
00:31:51.920 --> 00:31:54.660
<v Speaker 2>And so when you add that to the fact that, once again,

621
00:31:54.660 --> 00:31:56.440
<v Speaker 2>I'm not directly looking at the person,

622
00:31:56.480 --> 00:31:57.600
<v Speaker 2>I'm not directly with them,

623
00:31:57.640 --> 00:31:59.860
<v Speaker 2>so that empathy is minimised,

624
00:32:00.980 --> 00:32:03.500
<v Speaker 2>then, yes, I think it has a lot to do with it.

625
00:32:03.720 --> 00:32:05.560
<v Speaker 2>And then we've got reality TV,

626
00:32:05.640 --> 00:32:06.940
<v Speaker 2>which we know is not reality.

627
00:32:08.300 --> 00:32:10.720
<v Speaker 2>When you're even in a cooking show,

628
00:32:10.880 --> 00:32:13.060
<v Speaker 2>you're told to argue with the person,

629
00:32:13.100 --> 00:32:14.220
<v Speaker 2>you're told to have a fight,

630
00:32:14.300 --> 00:32:15.900
<v Speaker 2>because that'll maximise ratings.

631
00:32:16.680 --> 00:32:19.460
<v Speaker 2>And if that's the message, it's constantly the message,

632
00:32:19.700 --> 00:32:20.760
<v Speaker 2>you know, that nastiness.

633
00:32:21.600 --> 00:32:24.400
<v Speaker 2>And because we've got so much in the way of trolling

634
00:32:24.400 --> 00:32:24.640
<v Speaker 2>and...

635
00:32:24.660 --> 00:32:25.560
<v Speaker 2>and social media,

636
00:32:25.780 --> 00:32:27.460
<v Speaker 2>which people can easily do

637
00:32:27.460 --> 00:32:29.160
<v Speaker 2>because they're not looking at the person,

638
00:32:30.560 --> 00:32:32.220
<v Speaker 2>then it's an awful lot easier.

639
00:32:32.420 --> 00:32:33.960
<v Speaker 2>Even at the mildest stage,

640
00:32:35.440 --> 00:32:37.000
<v Speaker 2>one of the things that happens

641
00:32:37.000 --> 00:32:40.060
<v Speaker 2>when we look at someone else's eyes,

642
00:32:40.220 --> 00:32:42.060
<v Speaker 2>so gaze, direct gaze,

643
00:32:42.420 --> 00:32:46.220
<v Speaker 2>is we measure someone's communicative intent.

644
00:32:46.880 --> 00:32:48.220
<v Speaker 2>So what that means is,

645
00:32:48.320 --> 00:32:50.540
<v Speaker 2>it doesn't matter how much of a wordsmith you are,

646
00:32:50.920 --> 00:32:52.260
<v Speaker 2>I will pick up,

647
00:32:53.160 --> 00:32:54.560
<v Speaker 2>neurologically, I will pick up,

648
00:32:54.660 --> 00:32:55.280
<v Speaker 2>what you mean.

649
00:32:56.380 --> 00:32:57.800
<v Speaker 2>So if you have good intent,

650
00:32:59.140 --> 00:33:00.640
<v Speaker 2>then we will, you know,

651
00:33:00.660 --> 00:33:02.660
<v Speaker 2>any negativity will drop.

652
00:33:03.320 --> 00:33:05.240
<v Speaker 2>Whereas if you don't, I'll pick that up too.

653
00:33:06.340 --> 00:33:08.440
<v Speaker 2>And if you're just trying to be slick,

654
00:33:08.440 --> 00:33:09.340
<v Speaker 2>but you're lying to me,

655
00:33:09.400 --> 00:33:10.880
<v Speaker 2>boy, do we pick that up really fast.

656
00:33:11.080 --> 00:33:12.700
<v Speaker 2>You know, our sympathetic nervous system's going off

657
00:33:12.700 --> 00:33:13.320
<v Speaker 2>and we're going, uh-uh.

658
00:33:14.960 --> 00:33:16.900
<v Speaker 2>So that's why you can have fights

659
00:33:16.900 --> 00:33:19.500
<v Speaker 2>and they can escalate over email, over social media.

660
00:33:19.900 --> 00:33:21.780
<v Speaker 2>And then when you get together with someone,

661
00:33:21.960 --> 00:33:23.380
<v Speaker 2>you know, in a matter of minutes,

662
00:33:23.560 --> 00:33:24.200
<v Speaker 2>it can drop.

663
00:33:24.200 --> 00:33:25.580
<v Speaker 2>It's why whenever there was problems,

664
00:33:25.680 --> 00:33:28.680
<v Speaker 2>whenever I was a manager or a leader,

665
00:33:28.880 --> 00:33:32.040
<v Speaker 2>I would always, or in an industrial issue,

666
00:33:32.560 --> 00:33:35.300
<v Speaker 2>the worst times were the times to go.

667
00:33:35.540 --> 00:33:37.340
<v Speaker 2>Because it didn't matter how hairy it was,

668
00:33:38.200 --> 00:33:41.140
<v Speaker 2>you go and you are face-to-face with that person.

669
00:33:41.280 --> 00:33:42.460
<v Speaker 2>You engage their empathy.

670
00:33:42.720 --> 00:33:44.360
<v Speaker 2>And if you're being honest,

671
00:33:44.640 --> 00:33:46.480
<v Speaker 2>then the truth will out.

672
00:33:46.680 --> 00:33:47.320
<v Speaker 2>And it does.

673
00:33:47.480 --> 00:33:48.540
<v Speaker 2>It's always what matters.

674
00:33:48.600 --> 00:33:50.520
<v Speaker 2>So I think it's got a huge impact, yes.

675
00:33:51.500 --> 00:33:53.500
<v Robert Sims>That's certainly an interesting area, isn't it?

676
00:33:53.540 --> 00:33:53.840
<v Robert Sims>It's fascinating.

677
00:33:54.240 --> 00:33:56.020
<v Robert Sims>We have questions from the audience.

678
00:33:56.940 --> 00:33:58.640
<v Robert Sims>Sir, if you'd like to come and ask a question,

679
00:33:58.700 --> 00:34:00.220
<v Robert Sims>do you want to just come up to the microphone there?

680
00:34:01.140 --> 00:34:02.060
<v Speaker 4>Thank you very much.

681
00:34:02.740 --> 00:34:04.480
<v Speaker 4>So when I was growing up in the 80s,

682
00:34:04.480 --> 00:34:08.120
<v Speaker 4>the dogma was that if you have a brain injury, that's it.

683
00:34:08.220 --> 00:34:12.000
<v Speaker 4>Your neuronal plasticity wasn't a term that we're using.

684
00:34:12.120 --> 00:34:17.240
<v Speaker 4>So I want to fast-forward now to that newborn baby

685
00:34:17.840 --> 00:34:21.260
<v Speaker 4>who's not looking into its mother's eyes.

686
00:34:21.420 --> 00:34:21.660
<v Speaker 4>Yes.

687
00:34:22.260 --> 00:34:22.660
<v Speaker 4>Yes.

688
00:34:23.420 --> 00:34:23.820
<v Speaker 4>Yes.

689
00:34:23.820 --> 00:34:25.500
<v Speaker 4>In another 30 years, are we going to be saying,

690
00:34:25.580 --> 00:34:27.100
<v Speaker 4>oh, that's fine, there was a pill for that.

691
00:34:27.720 --> 00:34:30.240
<v Speaker 4>We fixed the plasticity empathy problem.

692
00:34:30.360 --> 00:34:32.920
<v Speaker 4>Or is that one of the things that actually you think

693
00:34:32.920 --> 00:34:34.480
<v Speaker 4>is going to be hardwired?

694
00:34:34.500 --> 00:34:36.380
<v Speaker 4>If you don't get that empathy,

695
00:34:36.500 --> 00:34:38.440
<v Speaker 4>that growth in the first year, five years,

696
00:34:39.440 --> 00:34:40.400
<v Speaker 4>then who are you?

697
00:34:40.420 --> 00:34:41.080
<v Speaker 4>Are you fully human?

698
00:34:41.840 --> 00:34:42.800
<v Speaker 2>That's a great question.

699
00:34:48.000 --> 00:34:50.540
<v Speaker 2>So when I've been doing the neurophysiological study,

700
00:34:50.820 --> 00:34:52.520
<v Speaker 2>I'm so glad.

701
00:34:52.660 --> 00:34:53.380
<v Speaker 2>I'm so glad that I've had my boys,

702
00:34:53.460 --> 00:34:57.140
<v Speaker 2>and they're now sort of strapping six-foot people and healthy,

703
00:34:57.360 --> 00:34:58.960
<v Speaker 2>because I'd be petrified.

704
00:34:59.060 --> 00:35:01.000
<v Speaker 2>The amount of information that's amazing

705
00:35:01.000 --> 00:35:03.360
<v Speaker 2>on the direct bonding with your baby,

706
00:35:03.600 --> 00:35:06.400
<v Speaker 2>even in the first day or two, it's incredible.

707
00:35:07.300 --> 00:35:11.120
<v Speaker 2>I could show you a brain of a three-year-old,

708
00:35:11.780 --> 00:35:14.580
<v Speaker 2>and it would be maybe the size of a, I don't know,

709
00:35:16.100 --> 00:35:17.060
<v Speaker 2>of a softball.

710
00:35:18.500 --> 00:35:20.400
<v Speaker 2>And that would be the brain of someone

711
00:35:20.400 --> 00:35:22.640
<v Speaker 2>who's been loved and cared for and stimulated,

712
00:35:22.660 --> 00:35:25.180
<v Speaker 2>and then if I showed you the brain of a three-year-old

713
00:35:25.180 --> 00:35:27.000
<v Speaker 2>who'd been profoundly neglected,

714
00:35:27.720 --> 00:35:29.420
<v Speaker 2>it would be half that size.

715
00:35:30.500 --> 00:35:33.360
<v Speaker 2>And it's because you keep pruning all the time.

716
00:35:33.380 --> 00:35:35.220
<v Speaker 2>We talked in the beginning about you prune all the time

717
00:35:35.220 --> 00:35:35.660
<v Speaker 2>and you grow.

718
00:35:36.220 --> 00:35:38.340
<v Speaker 2>But none of the growth has happened,

719
00:35:38.420 --> 00:35:40.960
<v Speaker 2>none of the stimulation, none of the direct interaction,

720
00:35:41.240 --> 00:35:42.300
<v Speaker 2>none of that love,

721
00:35:42.420 --> 00:35:45.820
<v Speaker 2>none of that curious novel building has happened.

722
00:35:46.020 --> 00:35:47.740
<v Speaker 2>So they actually get smaller brains.

723
00:35:48.240 --> 00:35:49.780
<v Speaker 2>But even in the first few days,

724
00:35:51.200 --> 00:35:51.860
<v Speaker 2>the brain,

725
00:35:52.660 --> 00:35:55.820
<v Speaker 2>the way that you interact with your parent,

726
00:35:55.940 --> 00:35:56.840
<v Speaker 2>and usually your mum,

727
00:35:56.920 --> 00:35:58.080
<v Speaker 2>but the skin-to-skin interaction

728
00:35:58.080 --> 00:36:01.180
<v Speaker 2>has huge neurophysiological effects on the baby.

729
00:36:01.720 --> 00:36:05.320
<v Speaker 2>And we could go into all sorts of experiments

730
00:36:05.320 --> 00:36:09.520
<v Speaker 2>that are really interesting around direct gaze

731
00:36:09.520 --> 00:36:11.380
<v Speaker 2>and around touching the baby

732
00:36:11.380 --> 00:36:14.220
<v Speaker 2>and how much that increases their capability

733
00:36:14.220 --> 00:36:15.520
<v Speaker 2>to deal with things.

734
00:36:15.720 --> 00:36:17.800
<v Speaker 2>There's a really quick one

735
00:36:17.800 --> 00:36:20.420
<v Speaker 2>around still face and still face and touch.

736
00:36:20.660 --> 00:36:22.280
<v Speaker 2>So one of the experiments is,

737
00:36:22.660 --> 00:36:23.620
<v Speaker 2>you get a very tiny baby,

738
00:36:23.780 --> 00:36:25.520
<v Speaker 2>the mum's looking into their eyes,

739
00:36:26.120 --> 00:36:28.180
<v Speaker 2>and then they go still face,

740
00:36:28.320 --> 00:36:29.600
<v Speaker 2>they stop paying attention.

741
00:36:30.380 --> 00:36:32.020
<v Speaker 2>And the baby starts to fuss

742
00:36:32.020 --> 00:36:33.540
<v Speaker 2>because it wants that attention back.

743
00:36:33.760 --> 00:36:35.760
<v Speaker 2>It doesn't understand why it's cut off.

744
00:36:35.900 --> 00:36:36.700
<v Speaker 2>And it cries.

745
00:36:36.940 --> 00:36:38.180
<v Speaker 2>And up goes its cortisol.

746
00:36:38.740 --> 00:36:40.360
<v Speaker 2>When the mother re-engages

747
00:36:40.360 --> 00:36:42.300
<v Speaker 2>and goes back to going,

748
00:36:42.360 --> 00:36:43.360
<v Speaker 2>hello darling, it's okay,

749
00:36:43.580 --> 00:36:45.180
<v Speaker 2>the cortisol doesn't drop.

750
00:36:45.420 --> 00:36:46.680
<v Speaker 2>It keeps going up.

751
00:36:47.140 --> 00:36:49.260
<v Speaker 2>And part of that is because we think

752
00:36:49.260 --> 00:36:50.860
<v Speaker 2>the baby's kind of going, okay,

753
00:36:51.160 --> 00:36:51.920
<v Speaker 2>you've done that before,

754
00:36:52.020 --> 00:36:52.640
<v Speaker 2>when would you do it?

755
00:36:52.640 --> 00:36:52.880
<v Speaker 2>You've got to do it again.

756
00:36:53.380 --> 00:36:55.980
<v Speaker 2>Whereas if you've got still face and touch,

757
00:36:56.640 --> 00:36:59.900
<v Speaker 2>because touch is the other massive method

758
00:36:59.900 --> 00:37:02.480
<v Speaker 2>of communicating and caring,

759
00:37:03.280 --> 00:37:05.400
<v Speaker 2>and those C-fibres are being stimulated,

760
00:37:05.980 --> 00:37:07.920
<v Speaker 2>then when the baby has,

761
00:37:08.640 --> 00:37:11.280
<v Speaker 2>sorry, when the mother disconnects,

762
00:37:12.320 --> 00:37:14.980
<v Speaker 2>because they're still touching that child,

763
00:37:15.280 --> 00:37:19.160
<v Speaker 2>very quickly the child will do something alternative.

764
00:37:19.220 --> 00:37:21.320
<v Speaker 2>It'll kind of have a look around

765
00:37:21.320 --> 00:37:22.480
<v Speaker 2>and it'll distract itself

766
00:37:22.640 --> 00:37:24.420
<v Speaker 2>until the mum looks at it again.

767
00:37:24.920 --> 00:37:26.520
<v Speaker 2>And then off they go again

768
00:37:26.520 --> 00:37:27.660
<v Speaker 2>and the cortisol drops.

769
00:37:27.700 --> 00:37:29.200
<v Speaker 2>So its cortisol goes up as well,

770
00:37:29.260 --> 00:37:29.960
<v Speaker 2>not as much,

771
00:37:30.040 --> 00:37:31.200
<v Speaker 2>but then it drops again.

772
00:37:31.900 --> 00:37:34.360
<v Speaker 2>So that massive communication,

773
00:37:35.420 --> 00:37:37.000
<v Speaker 2>connection with that baby,

774
00:37:37.100 --> 00:37:37.940
<v Speaker 2>even at that time,

775
00:37:37.960 --> 00:37:38.700
<v Speaker 2>makes that difference.

776
00:37:39.120 --> 00:37:40.580
<v Speaker 2>And it's very early days,

777
00:37:40.700 --> 00:37:42.140
<v Speaker 2>but what they're also looking at is

778
00:37:42.140 --> 00:37:43.300
<v Speaker 2>we've got cortisol receptors,

779
00:37:44.500 --> 00:37:46.120
<v Speaker 2>which become irritable

780
00:37:46.120 --> 00:37:48.360
<v Speaker 2>if you stimulate them a lot.

781
00:37:48.580 --> 00:37:49.580
<v Speaker 2>So does that mean,

782
00:37:49.680 --> 00:37:52.500
<v Speaker 2>would that lead to that baby,

783
00:37:52.500 --> 00:37:54.700
<v Speaker 2>maybe becoming a young person and an older person

784
00:37:54.700 --> 00:37:57.140
<v Speaker 2>who has kind of irritable cortisol receptors

785
00:37:57.140 --> 00:38:00.060
<v Speaker 2>so that they're potentially more anxious?

786
00:38:00.680 --> 00:38:01.800
<v Speaker 2>I mean, we don't know yet,

787
00:38:01.840 --> 00:38:02.760
<v Speaker 2>but it's fascinating.

788
00:38:03.620 --> 00:38:06.680
<v Robert Sims>I think there was a question over here as well.

789
00:38:07.120 --> 00:38:09.280
<v Robert Sims>And if there are others that want to ask questions as well,

790
00:38:09.340 --> 00:38:11.600
<v Robert Sims>maybe you might want to move towards the microphone too

791
00:38:11.600 --> 00:38:13.720
<v Robert Sims>so we can move through as many as possible.

792
00:38:13.880 --> 00:38:15.060
<v Robert Sims>There's one just at the front here.

793
00:38:15.840 --> 00:38:17.580
<v Robert Sims>Thank you, Fiona, so far.

794
00:38:17.900 --> 00:38:18.320
<v Robert Sims>Thank you.

795
00:38:19.160 --> 00:38:21.080
<v Speaker 5>I have a great pleasure once a year,

796
00:38:21.280 --> 00:38:22.200
<v Speaker 5>for the last two years,

797
00:38:22.200 --> 00:38:25.200
<v Speaker 5>to go up to East Timor and up into the highlands.

798
00:38:25.440 --> 00:38:27.460
<v Speaker 5>And there's communities up there

799
00:38:27.460 --> 00:38:29.560
<v Speaker 5>coming out of subsistence,

800
00:38:29.560 --> 00:38:30.480
<v Speaker 5>hunting and gathering,

801
00:38:30.600 --> 00:38:32.480
<v Speaker 5>starting early forms of market.

802
00:38:33.180 --> 00:38:36.120
<v Speaker 5>I note that a child at two or three

803
00:38:36.120 --> 00:38:38.960
<v Speaker 5>is given simple jobs to do.

804
00:38:39.560 --> 00:38:42.180
<v Speaker 5>I noticed very elderly people

805
00:38:42.180 --> 00:38:45.360
<v Speaker 5>have important jobs to do.

806
00:38:46.420 --> 00:38:49.180
<v Speaker 5>Everyone is part of the community.

807
00:38:49.320 --> 00:38:51.600
<v Speaker 5>Everyone is valued for what they get.

808
00:38:51.600 --> 00:38:53.400
<v Speaker 5>And the community provides.

809
00:38:54.500 --> 00:38:55.580
<v Speaker 5>I'm not a communist.

810
00:38:56.140 --> 00:38:57.720
<v Speaker 5>I don't know if I'm a socialist.

811
00:38:58.260 --> 00:38:59.980
<v Speaker 5>But I like what I see.

812
00:39:00.180 --> 00:39:01.080
<v Speaker 5>I'm a humanist.

813
00:39:01.280 --> 00:39:01.840
<v Speaker 5>And respect.

814
00:39:03.040 --> 00:39:05.580
<v Speaker 5>You come from many sources.

815
00:39:05.980 --> 00:39:09.300
<v Speaker 5>Could you add to that or comment or modify?

816
00:39:09.300 --> 00:39:10.080
<v Speaker 2>Yes, thank you.

817
00:39:12.300 --> 00:39:14.580
<v Speaker 2>And again, there's so many places we could go.

818
00:39:14.740 --> 00:39:16.040
<v Speaker 2>So with the children,

819
00:39:16.760 --> 00:39:19.320
<v Speaker 2>what interests me is the level of resilience

820
00:39:19.320 --> 00:39:20.100
<v Speaker 2>in...

821
00:39:20.100 --> 00:39:21.440
<v Speaker 2>or lack of resilience,

822
00:39:22.160 --> 00:39:25.560
<v Speaker 2>in children that aren't engaged early.

823
00:39:26.640 --> 00:39:27.680
<v Speaker 2>Right from the start,

824
00:39:27.700 --> 00:39:28.900
<v Speaker 2>there's even interesting information

825
00:39:28.900 --> 00:39:30.760
<v Speaker 2>on primary school children,

826
00:39:30.880 --> 00:39:32.920
<v Speaker 2>the difference that they have

827
00:39:32.920 --> 00:39:34.800
<v Speaker 2>in their maths outcomes

828
00:39:34.800 --> 00:39:37.840
<v Speaker 2>if they have to hop on a bus to get to school,

829
00:39:37.920 --> 00:39:39.920
<v Speaker 2>rather than being driven and dropped at the door.

830
00:39:40.640 --> 00:39:42.220
<v Speaker 2>And the reason is because

831
00:39:42.220 --> 00:39:45.140
<v Speaker 2>they have to engage complex problem solving.

832
00:39:45.260 --> 00:39:46.800
<v Speaker 2>They actually have to organise themselves

833
00:39:46.800 --> 00:39:48.500
<v Speaker 2>and be able to get onto that bus

834
00:39:48.500 --> 00:39:49.440
<v Speaker 2>and off at the right place.

835
00:39:50.100 --> 00:39:52.900
<v Speaker 2>So that capacity for complex problem solving

836
00:39:52.900 --> 00:39:54.880
<v Speaker 2>increases the schemata in their brains

837
00:39:54.880 --> 00:39:56.080
<v Speaker 2>around that capability.

838
00:39:56.660 --> 00:39:58.820
<v Speaker 2>And the other thing is their willpower increases.

839
00:39:58.900 --> 00:40:00.180
<v Speaker 2>And willpower is really critical

840
00:40:00.180 --> 00:40:02.960
<v Speaker 2>for bringing in your brain

841
00:40:02.960 --> 00:40:05.140
<v Speaker 2>to all sorts of tasks.

842
00:40:06.020 --> 00:40:07.720
<v Speaker 2>But the other thing is they're trusted.

843
00:40:08.460 --> 00:40:11.960
<v Speaker 2>And they are expected to be part of a process.

844
00:40:12.800 --> 00:40:14.300
<v Speaker 2>And so unlike...

845
00:40:14.300 --> 00:40:16.440
<v Speaker 2>I still remember sitting one day

846
00:40:16.440 --> 00:40:18.360
<v Speaker 2>or standing one day watching

847
00:40:18.360 --> 00:40:20.080
<v Speaker 2>my young children,

848
00:40:20.100 --> 00:40:21.680
<v Speaker 2>my young son's team of soccer,

849
00:40:21.820 --> 00:40:22.980
<v Speaker 2>we'd gone down to the city,

850
00:40:23.080 --> 00:40:23.920
<v Speaker 2>we were in the hills,

851
00:40:24.100 --> 00:40:25.900
<v Speaker 2>and the hills kids are a bit more kind of

852
00:40:26.980 --> 00:40:27.720
<v Speaker 2>bolshie, I guess.

853
00:40:28.560 --> 00:40:31.520
<v Speaker 2>And we were down in the city,

854
00:40:31.700 --> 00:40:36.460
<v Speaker 2>and by then they were quite tall, big kids.

855
00:40:36.680 --> 00:40:38.020
<v Speaker 2>And they were sitting, looking at their phones,

856
00:40:38.160 --> 00:40:39.560
<v Speaker 2>and their parents were running around

857
00:40:39.560 --> 00:40:40.240
<v Speaker 2>putting up the goals.

858
00:40:40.480 --> 00:40:41.180
<v Speaker 2>And we're thinking, what?

859
00:40:42.320 --> 00:40:44.120
<v Speaker 2>Because in the hills, the kids did that.

860
00:40:44.360 --> 00:40:46.560
<v Speaker 2>It's all of the things to do with

861
00:40:46.960 --> 00:40:48.180
<v Speaker 2>what are you part of

862
00:40:48.180 --> 00:40:49.720
<v Speaker 2>and what are you expected to do?

863
00:40:49.720 --> 00:40:51.740
<v Speaker 2>And how resilient are you going to be out of that?

864
00:40:52.020 --> 00:40:53.680
<v Speaker 2>And bringing up older people,

865
00:40:54.580 --> 00:40:57.720
<v Speaker 2>yes, we've got this amazing capacity

866
00:40:57.720 --> 00:41:00.380
<v Speaker 2>to have people, older people,

867
00:41:01.240 --> 00:41:03.000
<v Speaker 2>right next to young people

868
00:41:03.000 --> 00:41:05.920
<v Speaker 2>to be able to increase their capability

869
00:41:05.920 --> 00:41:07.640
<v Speaker 2>for complex problem solving

870
00:41:07.640 --> 00:41:08.900
<v Speaker 2>and to react with them

871
00:41:08.900 --> 00:41:11.280
<v Speaker 2>and to connect with them

872
00:41:11.280 --> 00:41:13.720
<v Speaker 2>and to increase their dopamine

873
00:41:13.720 --> 00:41:14.960
<v Speaker 2>and their oxytocin.

874
00:41:14.980 --> 00:41:16.680
<v Speaker 2>And it also keeps older people

875
00:41:16.680 --> 00:41:18.720
<v Speaker 2>really alive and connected.

876
00:41:18.760 --> 00:41:21.760
<v Speaker 2>So in countries where they do things like

877
00:41:21.760 --> 00:41:23.920
<v Speaker 2>have older folks' homes

878
00:41:24.560 --> 00:41:26.520
<v Speaker 2>right next to kindergartens,

879
00:41:26.580 --> 00:41:29.280
<v Speaker 2>or if they even have the kindergartens

880
00:41:29.280 --> 00:41:32.000
<v Speaker 2>in the old place, the complexes,

881
00:41:32.760 --> 00:41:34.320
<v Speaker 2>those are really wonderful

882
00:41:34.320 --> 00:41:35.940
<v Speaker 2>for both of those skipped generations

883
00:41:36.680 --> 00:41:38.660
<v Speaker 2>because they both get a massive amount

884
00:41:38.660 --> 00:41:39.680
<v Speaker 2>of value out of them.

885
00:41:39.960 --> 00:41:41.820
<v Speaker 2>So it's a great question.

886
00:41:41.880 --> 00:41:43.640
<v Speaker 2>We have to really think about that structure

887
00:41:44.300 --> 00:41:46.140
<v Speaker 2>so that everybody gets to be

888
00:41:46.140 --> 00:41:48.420
<v Speaker 2>a useful part of that society.

889
00:41:49.020 --> 00:41:50.720
<v Speaker 2>Instead of which we, you know,

890
00:41:50.720 --> 00:41:52.820
<v Speaker 2>we're talking about ageing well in place

891
00:41:52.820 --> 00:41:54.880
<v Speaker 2>and potentially having, you know,

892
00:41:54.880 --> 00:41:56.600
<v Speaker 2>iPads that you can play games on.

893
00:41:56.660 --> 00:41:57.800
<v Speaker 2>It'd be much better if you put the iPad

894
00:41:57.800 --> 00:42:00.540
<v Speaker 2>in the middle of a table

895
00:42:00.540 --> 00:42:02.220
<v Speaker 2>and everybody can sit around

896
00:42:02.220 --> 00:42:03.420
<v Speaker 2>and have a look at a puzzle

897
00:42:03.420 --> 00:42:05.220
<v Speaker 2>rather than a person on their own doing it.

898
00:42:06.380 --> 00:42:08.000
<v Speaker 2>Because we look at here,

899
00:42:08.120 --> 00:42:09.380
<v Speaker 2>we tend to look at economic

900
00:42:09.380 --> 00:42:12.480
<v Speaker 2>and medical aspects of ageing,

901
00:42:12.480 --> 00:42:14.200
<v Speaker 2>but we don't look at that third leg,

902
00:42:14.260 --> 00:42:15.400
<v Speaker 2>which is the social aspect.

903
00:42:15.600 --> 00:42:17.080
<v Speaker 2>And it's not just the social aspect

904
00:42:17.080 --> 00:42:18.680
<v Speaker 2>for the person who still feels connected,

905
00:42:18.760 --> 00:42:21.740
<v Speaker 2>and therefore their hearts and minds still grow,

906
00:42:21.980 --> 00:42:24.700
<v Speaker 2>but it's also the rest of that society

907
00:42:24.700 --> 00:42:26.700
<v Speaker 2>that is just missing out

908
00:42:26.700 --> 00:42:29.060
<v Speaker 2>on that really, really rich engagement

909
00:42:29.060 --> 00:42:32.200
<v Speaker 2>and, yeah, that huge connectivity.

910
00:42:33.380 --> 00:42:34.800
<v Speaker 6>My name is Blasta.

911
00:42:35.460 --> 00:42:36.980
<v Speaker 6>Can I take it down?

912
00:42:37.240 --> 00:42:37.680
<v Speaker 6>Okay.

913
00:42:39.020 --> 00:42:40.360
<v Speaker 6>I'm very grateful

914
00:42:40.360 --> 00:42:42.680
<v Speaker 6>that I had the opportunity

915
00:42:42.680 --> 00:42:46.240
<v Speaker 6>and first of all that I listened to myself

916
00:42:46.240 --> 00:42:48.620
<v Speaker 6>and enter in this room.

917
00:42:49.500 --> 00:42:51.620
<v Speaker 6>It was a great challenge

918
00:42:51.620 --> 00:42:56.180
<v Speaker 6>to do, doing nothing is not an option.

919
00:42:56.640 --> 00:43:00.300
<v Speaker 6>And when you are talking about face-to-face,

920
00:43:00.500 --> 00:43:04.000
<v Speaker 6>I am glad that I, two days back,

921
00:43:04.220 --> 00:43:07.680
<v Speaker 6>I take this brush face-to-face,

922
00:43:07.840 --> 00:43:12.660
<v Speaker 6>but because the first interaction face-to-face

923
00:43:12.660 --> 00:43:15.200
<v Speaker 6>was when I got the first baby,

924
00:43:16.880 --> 00:43:18.740
<v Speaker 6>and nobody will know

925
00:43:18.760 --> 00:43:19.280
<v Speaker 6>and nobody will tell me

926
00:43:19.280 --> 00:43:24.580
<v Speaker 6>that the little child cannot look, see.

927
00:43:25.760 --> 00:43:27.700
<v Speaker 6>I know that they can see,

928
00:43:27.840 --> 00:43:30.740
<v Speaker 6>but they can see with a strong feeling.

929
00:43:31.760 --> 00:43:33.500
<v Speaker 6>And when I look at his eyes

930
00:43:33.500 --> 00:43:35.560
<v Speaker 6>and he looks at my eyes,

931
00:43:35.780 --> 00:43:37.120
<v Speaker 6>it was the message,

932
00:43:37.440 --> 00:43:39.640
<v Speaker 6>will you be a good mother?

933
00:43:40.920 --> 00:43:44.720
<v Speaker 6>And it was just a really difficult answer,

934
00:43:44.780 --> 00:43:46.600
<v Speaker 6>and all my life,

935
00:43:46.600 --> 00:43:49.160
<v Speaker 6>I do a lot of effort.

936
00:43:49.620 --> 00:43:52.680
<v Speaker 6>And I'm glad that I can express this.

937
00:43:53.060 --> 00:43:57.280
<v Speaker 6>Every human being needs to look at the eyes.

938
00:43:57.920 --> 00:44:00.560
<v Speaker 6>No matter if you have a complex,

939
00:44:00.820 --> 00:44:02.140
<v Speaker 6>if you are strong,

940
00:44:02.440 --> 00:44:03.660
<v Speaker 6>if you are weak,

941
00:44:03.860 --> 00:44:04.600
<v Speaker 6>unique,

942
00:44:05.600 --> 00:44:06.700
<v Speaker 6>you need to express,

943
00:44:07.000 --> 00:44:08.560
<v Speaker 6>this is the first expression.

944
00:44:09.120 --> 00:44:11.900
<v Speaker 6>I really thank you for this opportunity

945
00:44:12.600 --> 00:44:14.620
<v Speaker 6>and I will bring tomorrow

946
00:44:14.620 --> 00:44:15.860
<v Speaker 6>when I go overseas,

947
00:44:15.860 --> 00:44:19.380
<v Speaker 6>my very best memories from Adelaide.

948
00:44:19.720 --> 00:44:20.420
<v Speaker 3>Thank you.

949
00:44:25.040 --> 00:44:27.460
<v Speaker 2>One of the things I'd love all of you to do

950
00:44:27.460 --> 00:44:29.860
<v Speaker 2>is the next time you stand in a line

951
00:44:31.080 --> 00:44:32.800
<v Speaker 2>waiting for something like a cup of coffee,

952
00:44:32.940 --> 00:44:34.760
<v Speaker 2>who automatically looks at their phone?

953
00:44:35.120 --> 00:44:35.980
<v Speaker 2>Be honest.

954
00:44:37.400 --> 00:44:38.360
<v Speaker 2>Okay, right.

955
00:44:40.000 --> 00:44:41.260
<v Speaker 2>I just find it amazing

956
00:44:41.260 --> 00:44:42.480
<v Speaker 2>and I think it's so critical,

957
00:44:42.680 --> 00:44:43.160
<v Speaker 2>you know,

958
00:44:43.180 --> 00:44:45.440
<v Speaker 2>at least if you don't talk to the person

959
00:44:45.440 --> 00:44:46.920
<v Speaker 2>who's behind you or in front of you,

960
00:44:46.960 --> 00:44:48.300
<v Speaker 2>which is the best thing for your brains

961
00:44:48.300 --> 00:44:49.300
<v Speaker 2>and for your heart,

962
00:44:49.760 --> 00:44:51.880
<v Speaker 2>then look out of the window

963
00:44:51.880 --> 00:44:52.960
<v Speaker 2>or just look at the sky,

964
00:44:53.200 --> 00:44:55.140
<v Speaker 2>because that's the only time that your brain

965
00:44:55.140 --> 00:44:56.580
<v Speaker 2>goes into that abstraction.

966
00:44:56.940 --> 00:44:58.900
<v Speaker 2>Otherwise, we're all in this task stuff altogether.

967
00:44:59.780 --> 00:45:01.700
<v Speaker 2>So that's a challenge for next week.

968
00:45:01.820 --> 00:45:03.380
<v Speaker 2>When you've got that five minutes

969
00:45:03.380 --> 00:45:04.520
<v Speaker 2>and you've got people around you,

970
00:45:04.600 --> 00:45:05.420
<v Speaker 2>talk to one,

971
00:45:05.500 --> 00:45:07.120
<v Speaker 2>or at least don't look at that screen.

972
00:45:07.580 --> 00:45:08.020
<v Speaker 2>Sorry.

973
00:45:11.680 --> 00:45:13.780
<v Speaker 3>I think probably like many people here,

974
00:45:13.840 --> 00:45:15.160
<v Speaker 3>we sort of feel a huge,

975
00:45:15.740 --> 00:45:17.220
<v Speaker 3>instinctively feel a huge concern

976
00:45:17.220 --> 00:45:19.420
<v Speaker 3>for a lot of these things

977
00:45:19.420 --> 00:45:21.100
<v Speaker 3>that are happening in our society

978
00:45:21.600 --> 00:45:25.980
<v Speaker 3>and it's really heartening

979
00:45:25.980 --> 00:45:28.940
<v Speaker 3>and sort of somehow gives me confidence

980
00:45:28.940 --> 00:45:31.320
<v Speaker 3>to have those instinctive things validated

981
00:45:31.320 --> 00:45:33.780
<v Speaker 3>by someone who has both the scientific

982
00:45:33.780 --> 00:45:35.560
<v Speaker 3>and the technological background

983
00:45:35.560 --> 00:45:37.140
<v Speaker 3>and it gives me information

984
00:45:37.140 --> 00:45:39.320
<v Speaker 3>to take away and talk with us.

985
00:45:39.540 --> 00:45:40.140
<v Speaker 3>Thank you.

986
00:45:40.500 --> 00:45:42.780
<v Speaker 3>And so following on from that,

987
00:45:42.800 --> 00:45:44.300
<v Speaker 3>so those of us who think about it,

988
00:45:44.340 --> 00:45:45.080
<v Speaker 3>we can do stuff

989
00:45:45.160 --> 00:45:46.460
<v Speaker 3>on an individual level.

990
00:45:46.860 --> 00:45:48.360
<v Speaker 3>I think the words you used were,

991
00:45:48.420 --> 00:45:49.960
<v Speaker 3>we can try hard to be smart

992
00:45:49.960 --> 00:45:51.520
<v Speaker 3>and make good decisions

993
00:45:51.520 --> 00:45:52.940
<v Speaker 3>and we can do our bit in the queue

994
00:45:52.940 --> 00:45:54.860
<v Speaker 3>and not look at our phone next week.

995
00:45:55.180 --> 00:45:57.480
<v Speaker 3>But what I would like to go home with,

996
00:45:57.540 --> 00:45:58.120
<v Speaker 3>if you could please,

997
00:45:58.220 --> 00:45:59.460
<v Speaker 3>is some cause for optimism

998
00:45:59.460 --> 00:46:01.160
<v Speaker 3>on a societal level.

999
00:46:03.340 --> 00:46:04.720
<v Speaker 3>It's too distressing otherwise.

1000
00:46:11.800 --> 00:46:14.000
<v Speaker 2>I think that humans

1001
00:46:14.000 --> 00:46:17.040
<v Speaker 2>are very powerful consistently

1002
00:46:17.040 --> 00:46:19.400
<v Speaker 2>in the way that when we do connect,

1003
00:46:19.620 --> 00:46:21.520
<v Speaker 2>we build really positive things.

1004
00:46:22.140 --> 00:46:25.040
<v Speaker 2>A friend of mine was just talking at a forum,

1005
00:46:25.100 --> 00:46:26.440
<v Speaker 2>I was talking at a couple of days ago

1006
00:46:26.440 --> 00:46:27.980
<v Speaker 2>about the fact that there's a tipping point

1007
00:46:27.980 --> 00:46:32.360
<v Speaker 2>in things like generation of clean energy

1008
00:46:32.360 --> 00:46:33.260
<v Speaker 2>rather than coal.

1009
00:46:33.400 --> 00:46:35.580
<v Speaker 2>Finally, it's starting to tip the other way.

1010
00:46:35.820 --> 00:46:40.800
<v Speaker 2>And that's been social pressure, basically.

1011
00:46:41.160 --> 00:46:43.320
<v Speaker 2>It's been enough different avenues

1012
00:46:43.320 --> 00:46:45.760
<v Speaker 2>to be able to build a cleaner world.

1013
00:46:45.920 --> 00:46:46.880
<v Speaker 2>And finally now,

1014
00:46:46.980 --> 00:46:49.120
<v Speaker 2>the economic leg of that has kicked in,

1015
00:46:49.200 --> 00:46:50.660
<v Speaker 2>which means that now it'll take off more

1016
00:46:50.660 --> 00:46:51.380
<v Speaker 2>because of course,

1017
00:46:51.400 --> 00:46:53.560
<v Speaker 2>when the big people make more money,

1018
00:46:53.580 --> 00:46:54.140
<v Speaker 2>then that's good.

1019
00:46:54.780 --> 00:46:56.240
<v Speaker 2>And one of the things that,

1020
00:46:56.860 --> 00:46:59.080
<v Speaker 2>I guess, we were talking about was,

1021
00:46:59.160 --> 00:47:00.760
<v Speaker 2>no matter how difficult it is,

1022
00:47:00.800 --> 00:47:01.720
<v Speaker 2>because that's a hugely

1023
00:47:01.720 --> 00:47:03.380
<v Speaker 2>kind of profit-driven system,

1024
00:47:04.020 --> 00:47:05.260
<v Speaker 2>when you get people

1025
00:47:05.260 --> 00:47:06.840
<v Speaker 2>who believe in something

1026
00:47:06.840 --> 00:47:09.120
<v Speaker 2>and are committed to going forward together

1027
00:47:09.120 --> 00:47:10.420
<v Speaker 2>in making something better,

1028
00:47:10.580 --> 00:47:11.940
<v Speaker 2>human beings are incredible.

1029
00:47:11.940 --> 00:47:16.080
<v Speaker 2>I think that the optimism is around the fact that

1030
00:47:16.080 --> 00:47:17.560
<v Speaker 2>time and time again,

1031
00:47:17.700 --> 00:47:18.920
<v Speaker 2>if you look,

1032
00:47:19.000 --> 00:47:20.240
<v Speaker 2>one of the problems is here,

1033
00:47:20.280 --> 00:47:22.700
<v Speaker 2>we don't get very much media

1034
00:47:22.700 --> 00:47:24.120
<v Speaker 2>that actually shows us that.

1035
00:47:24.180 --> 00:47:24.960
<v Speaker 2>But if you go looking,

1036
00:47:25.140 --> 00:47:29.140
<v Speaker 2>you can find constant and consistent evidence

1037
00:47:29.140 --> 00:47:30.660
<v Speaker 2>around people deciding,

1038
00:47:31.240 --> 00:47:33.740
<v Speaker 2>as individuals and certainly as groups,

1039
00:47:34.820 --> 00:47:37.480
<v Speaker 2>to make a difference in their own environment.

1040
00:47:38.140 --> 00:47:40.340
<v Speaker 2>And that has a contagion effect,

1041
00:47:40.480 --> 00:47:41.920
<v Speaker 2>just like any sort of competition.

1042
00:47:41.940 --> 00:47:42.420
<v Speaker 2>And that's a complex system.

1043
00:47:42.840 --> 00:47:46.740
<v Speaker 2>So getting more information

1044
00:47:46.740 --> 00:47:48.160
<v Speaker 2>is one of the critical things.

1045
00:47:48.380 --> 00:47:53.140
<v Speaker 2>How does the decision around big data actually work?

1046
00:47:53.340 --> 00:47:57.160
<v Speaker 2>How can we decide to collect different things

1047
00:47:57.160 --> 00:47:58.840
<v Speaker 2>and do different things with information?

1048
00:47:59.220 --> 00:48:01.080
<v Speaker 2>And what should we be looking at

1049
00:48:01.080 --> 00:48:04.160
<v Speaker 2>in our own consumption of technology

1050
00:48:04.160 --> 00:48:06.740
<v Speaker 2>or of various things around that?

1051
00:48:06.820 --> 00:48:10.880
<v Speaker 2>They're all driven to be with us all the time.

1052
00:48:10.880 --> 00:48:13.080
<v Speaker 2>So how do we make the best of those things?

1053
00:48:13.260 --> 00:48:16.060
<v Speaker 2>And how do we ensure that no matter what we do,

1054
00:48:16.180 --> 00:48:17.300
<v Speaker 2>it's human-centric?

1055
00:48:18.280 --> 00:48:21.040
<v Speaker 2>And I think if we have that in mind,

1056
00:48:21.160 --> 00:48:22.800
<v Speaker 2>then the discussions that we have,

1057
00:48:22.880 --> 00:48:24.020
<v Speaker 2>certainly the people that I know,

1058
00:48:24.060 --> 00:48:25.120
<v Speaker 2>the discussions we have,

1059
00:48:25.220 --> 00:48:27.200
<v Speaker 2>are very much based around that.

1060
00:48:27.360 --> 00:48:28.600
<v Speaker 2>Because we start off...

1061
00:48:28.600 --> 00:48:29.840
<v Speaker 2>I work with Jordan,

1062
00:48:29.960 --> 00:48:33.880
<v Speaker 2>and he's a biomedical engineer roboticist,

1063
00:48:34.560 --> 00:48:37.140
<v Speaker 2>and I'm the kind of complex systems person,

1064
00:48:38.020 --> 00:48:38.460
<v Speaker 2>neuroscientist.

1065
00:48:38.660 --> 00:48:40.860
<v Speaker 2>And so he started off,

1066
00:48:40.880 --> 00:48:42.100
<v Speaker 2>saying, yes, robots are terrific.

1067
00:48:42.300 --> 00:48:44.700
<v Speaker 2>And I would say, well, no, not in certain circumstances.

1068
00:48:45.080 --> 00:48:47.940
<v Speaker 2>And we realised that we both wanted the same thing,

1069
00:48:47.960 --> 00:48:50.160
<v Speaker 2>which was to have a human-centric future.

1070
00:48:52.080 --> 00:48:55.820
<v Speaker 2>So I think knowing that we want to build that

1071
00:48:55.820 --> 00:48:59.200
<v Speaker 2>and knowing how important that connection for human beings is,

1072
00:49:00.780 --> 00:49:05.540
<v Speaker 2>then hopefully what that means is that we go forward

1073
00:49:05.540 --> 00:49:08.440
<v Speaker 2>and we look at all of the elements in the future in that way,

1074
00:49:08.580 --> 00:49:09.920
<v Speaker 2>which means we ask different questions

1075
00:49:09.920 --> 00:49:11.360
<v Speaker 2>and we insist on different things.

1076
00:49:11.460 --> 00:49:13.720
<v Speaker 2>And also there's choices we won't make as well.

1077
00:49:14.340 --> 00:49:16.900
<v Robert Sims>Well, I feel like we could talk about this

1078
00:49:16.900 --> 00:49:18.000
<v Robert Sims>for the rest of the afternoon,

1079
00:49:18.060 --> 00:49:20.720
<v Robert Sims>but unfortunately we are out of time.

1080
00:49:20.740 --> 00:49:22.860
<v Robert Sims>But this is a good point for us to end on,

1081
00:49:22.920 --> 00:49:24.580
<v Robert Sims>this optimistic note.

1082
00:49:24.820 --> 00:49:28.260
<v Robert Sims>Please join me in thanking Dr Fiona Kerr

1083
00:49:28.260 --> 00:49:29.460
<v Robert Sims>for such a fascinating presentation.

