Tobias "Tobi" Konitzer

You'll see the same in diagnosis.

You see the same in sentencing.

It's one of my favorite examples.

And you can see that it's not a bad thing, sentencing.

If you think about human decisioning and sentencing, sentencing is arbitrary.

You can't audit the human.

There is a lot of bias in there.

There is a lot of noise in there.

Hiring, think about hiring.

You had a bad breakfast.

You don't hire the guy, but the guy was fantastic.

Not even you're biased against the person.

It's just noise, which is probably the bigger source of human error, actually.

In general, I think that's a very good thing.

I think the big question is how do machines take over decisioning?

And what we certainly believe will be here for the foreseeable future is a hybrid system where you have manual elements or you have human in the loops where, let's say, the machine comes up with 10 different variations of content.

You, as a human in the loop, validate that content.

You iterate over that content.

Then the machine makes the decisioning and basically decides for any individual what content gets served up when he or she comes to that point in the journey.

Yeah, you let the machine do that decision, but the human can audit that decision alongside quantitative parameters.