Hiring is probably the first place where most HR leaders in the room have let AI touch a decision, right? So what does bias do to a hiring process and what kind of candidate does it quietly screen out?

I think what happens, just as we were discussing a few minutes ago, is that whatever challenges you have currently with bias, what's going to happen is it will get accelerated in AI if you're using the data that existed before you were using AI that already had bias in it.

And so here's a couple of examples of things that they have found over the years.

the name of the candidate.

You've got to be kidding.

Yeah.

Wow.

So who owns those outcomes as a result of AI acting on biased data, right? Is it HR, IT, legal, the vendor, the CEO? Who is it? Who owns those outcomes? Who's responsible for mitigating this?