Nicole Gillespie

Well, I think this is it, is that part of the learning with AI comes from its actual use with it.

So I often think about, through our evolution, we've had millennia of experience that's embedded in our DNA on how to trust other people, for example, all the micro cues and the different things that we look for.

And we're learning that from birth.

Here, this very powerful human-like tool that has some human-like capabilities comes along.

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.