Professor Nicole Gillespie

And I think also, you know, some of the early sort of failure cases, for example, where AI was being used in criminal recidivism, so to actually predict who was likely to, you know, commit crimes again, we saw these tools being deployed sometimes with what would be considered to be very low levels of accuracy.

Mm-hmm.

sometimes only like 60% accuracy, which is just really inappropriate.

Whereas I don't think that that would happen now, given the maturity of sort of the governance of these systems.

Yeah, so look, I think here in Australia, and to get the Australian context, the National AI Centre, which is part of the government's industry science and resources sort of department, they've got fantastic resources.

Everything for, say, business people who want to adopt AI or put in place appropriate governance, there's really well-developed now guidelines on how to do that.

Historically, there's also things like the AI ethics principles, for example, which provide a general guide that's been around for some time.

There's voluntary AI standards as well, AI safety standards that can be adopted.

But I think just for the average sort of person out there, New South Wales TAFE also has at the moment their free courses on AI sort of fundamentals.

So that's a really great place to

to start, and the fact that they're free is a bonus too.

I do think though that hands-on experience is a really great way to learn with these tools, but first just being mindful about the strengths and limitations, and I think it's always appropriate to be quite cautious in one's use and to be really reflective, so to be critically evaluating the outputs before actually using them in your work.

You know, one of the things that I often say to people who are, you know, worried about, you know, what if I make mistakes with AI is just to really come back to fundamental principles.

If you're using it in your work or in your daily life, you're still accountable for what you're doing, whether you use AI or not.

So just use AI in a way that you feel confident with and that you would be able to explain to other people and what would pass the sniff test.

Yeah, so look, I mean, I think at the moment we do have voluntary standards and sort of principles in there.

I do think for high-use cases, you know, using a risk stratification approach, I think it is appropriate that we need to have some enforceable rules.

The government's approach to doing this is not to necessarily set up separate, you know, laws around AI like the EU AI Act has, so the European Union rules,

but rather to think about how do we already work with the many laws that can govern AI that we already have, whether that's privacy laws or consumer protection laws or anti-discrimination.

So I think we're in a phase at the moment where the test cases for those laws are coming up and we're actually seeing the adaptation and clarification of some of those rules.