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Speaker 1: We've got a blueprint that lays out this country's AI targets.

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Speaker 1: This is from a committee made up of you know,

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Speaker 1: your Amazon's, your A and Z Zero's whole bunch of

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Speaker 1: others who think AI can boost GDP and productivity. AI

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Speaker 1: Forum New Zealand executive director Madaline Newman is with us medline.

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Speaker 1: Good morning to you, Good morning. I'm just looking at

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Speaker 1: your website. You've got nine thousand people working for you.

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Speaker 1: Everyone's on board. What's going on there?

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Speaker 2: Actually, you don't have very many people working for us

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Speaker 2: at all, but we do have a lot of a

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Speaker 2: lot of members. So we've got there made up of

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Speaker 2: probably about seven percent government, about seven percent academia and

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Speaker 2: the balancer businesses, so creators, implementers, advisors and users of technology.

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Speaker 1: How many people in the group sit there and go,

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Speaker 1: you know what, this might just be more hype than

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Speaker 1: it is reality versus how many people in the group go,

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Speaker 1: this is going to take us to places we never imagined.

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Speaker 2: I think that you join AI for them because of

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Speaker 2: the latter. You recognize the power and the potential power

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Speaker 2: of it to to help New Zealand become a world

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Speaker 2: leading hub basically for responsible AI for the benefit of

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Speaker 2: everyone and to help leak that productivity gap is.

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Speaker 1: The level of individuality with an AI for us to

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Speaker 1: be world leading in anything versus everyone to be world

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Speaker 1: leading because we all recognize the same advantages no matter

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Speaker 1: where in the world we are.

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Speaker 2: Well, we've got some really globally valuable strategic assets that

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Speaker 2: set alongside them. So people often think that, for example,

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Speaker 2: that New Zealand's a bit of a back quarter, and

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Speaker 2: I don't want people to think that from an AI perspective,

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Speaker 2: we are really good at this stuff. We have some

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Speaker 2: absolutely excellent research and developers in this country and we've

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Speaker 2: grown some amazing companies across a number of different sectors

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Speaker 2: as a result of that. Some of those things, and

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Speaker 2: they're possibly that boring has hosted people to think about

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Speaker 2: but data. So we've got really nationally significant data sets

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Speaker 2: that are accurate, complete, reliable, relevant, timely that are super valuable.

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Speaker 2: I mean later this morning, but personal that this morning.

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Speaker 2: I'm going from mammogram. Now, our mammogram test results and

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Speaker 2: pictures have been used to train or are being used,

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Speaker 2: sorry to train artificial intelligence that can help detect cancer,

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Speaker 2: empress much earlier and much more effectively help our esteeent

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Speaker 2: radiongists to do their job better and faster.

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Speaker 1: That's now, that's a very good example. Can it do

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Speaker 1: that now or will it be able to do it?

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Speaker 1: Or it might be able to do it.

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Speaker 2: So there are working examples of both of those. So

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Speaker 2: Volpara is an organization out of New Zealand that recently

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Speaker 2: I think it's been it's been told, but I can't

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Speaker 2: remember to home which EXAC has done exactly that. There

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Speaker 2: is another one called Frontline Diagnostics again done that. It's

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Speaker 2: in clinical trials in the US.

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Speaker 1: Apparently do we know when this is going to hit us?

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Speaker 1: In a look at this? This is how materially different

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Speaker 1: it is or has it already?

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Speaker 2: I think for some people that already has and for

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Speaker 2: others we're sort of staying well. Our key message is

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Speaker 2: get on board and take the productivity gains that can

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Speaker 2: it can potentially give you. And I talk to a

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Speaker 2: lot of teachers, for example. Now, the average for somebody

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Speaker 2: just using generative the usual tools that's sort of freely

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Speaker 2: available out there in a kind of way, the average,

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Speaker 2: according to Delute, is something like five point four hours

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Speaker 2: a week. You can save in time else we can

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Speaker 2: give teachers back five hours a week. How amazing is

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Speaker 2: that you know you've spend that time building bitter humans.

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Speaker 1: What's what's the vibe on bad actors and how this

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Speaker 1: is going to go wrong? In some sectors.

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Speaker 2: There are always bad actors, and our emphasis is on

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Speaker 2: the good actors. So if it's a fight between good

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Speaker 2: and evil, we want we obviously want more good actors

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Speaker 2: in New Zealand. We don't seem to have. There don't

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Speaker 2: seem to be terribly many homegrown bad actors, which is great,

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Speaker 2: But this is an international an international technology, so we

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Speaker 2: do need to be keenly aware of things so that.

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Speaker 1: Most interesting times go well. I appreciate it very much.

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Speaker 1: Medline Newman, who is the AI Forum New Zealand executive directory.

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Speaker 2: For more from the Mic Asking Breakfast, listen live to

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