Professor Nicole Gillespie

Here, this very powerful human-like, you know, tool that has some human-like capabilities comes along and

And it is easy to anthropomorphize it and think of it as like a person.

Yet we haven't really had much experience in thinking about how do we, again, sort of calibrate our trust in these tools.

So I think that's just a natural sort of part of understanding this.

Similarly, I think, you know, we often talk about AI as being

Having an analogy with something like the car, right?

When the car came along, you know, people were really upset about this and they were trying to slow down cars and, you know, and cars can be dangerous if we don't have driver's license, if we don't have road rules, if there's not that sort of appropriate governance and regulation over it.

So we're at an early stage, I think, in figuring out that kind of landscape of how to regulate and govern these technologies well.

But I'm optimistic that there is a lot of cooperation going on internationally.

There's international standards that are coming out.

And all of these things, I think, do filter through to the public consciousness when they start to see AI being used and delivering benefits and not, you know, resulting in harms.

Well, what we actually find in our survey is that one of the kind of areas which has been a bit blind to, I think, appropriate oversight has actually been an employee's use of particularly generative AI tools in the workplace.

So often, you know, across many different sectors, sort of traditional AI tools that are embedded in products or services for customers, for example, there's actually been often very good governance over those and we're quite mature in our way of sort of understanding how to govern those tools.

But in terms of employees' everyday use, we actually find really high levels of inappropriate and complacent and shadow use.

And that's often manifesting where we're seeing, for example, in the media or, you know, whether it's a consulting company where people have used AI tools for quite prominent government reports, for example, and then found that it's fabricated, whether it's citations or some of the information in it.

We've also seen this happening by lawyers a lot.

So in the legal industry where, again, multiple cases where lawyers have put together certain applications to courts and then found out that, again, fabricated cases have been cited in there.

So that does a lot of damage.

It does a lot of damage to not only the individual but to the organisation and, you know, more broadly across the industry as well.

In some contexts, I think, that have already been highly regulated, for example, in health and in banks, we tend to see less problems, less media headlines about any problems.