Peter Norvig

So we have a great system that says, if you give me a bunch of data, I've got an algorithm that can optimize some objective that you're shooting for.

So we have a great system that says, if you give me a bunch of data, I've got an algorithm that can optimize some objective that you're shooting for.

But you got to tell me what the objective is.

But you got to tell me what the objective is.

What is it that you're trying to do?

What is it that you're trying to do?

And for some tasks, that's easy.

And for some tasks, that's easy.

You know, if I'm playing chess, it's better to win than to lose.

You know, if I'm playing chess, it's better to win than to lose.

But in other tasks, that's the whole problem.

But in other tasks, that's the whole problem.

And so we look at things like we have these systems that help judges make decisions for parole, who gets out on parole and who doesn't.

And so we look at things like we have these systems that help judges make decisions for parole, who gets out on parole and who doesn't.

And you want to parole somebody if they're going to behave well, and you want to not parole them if you think they're going to recommit a crime.

And you want to parole somebody if they're going to behave well, and you want to not parole them if you think they're going to recommit a crime.

But of course, these systems aren't going to be perfect.

But of course, these systems aren't going to be perfect.

They're going to make mistakes.

They're going to make mistakes.