Nilay Patel

And I wanted to start there because I do feel like the lack of faith in our corporate institutions is equally high.

And most people's experience with arbitration is, well, I just need cell phone service.

I'm not going to read this contract or these 15 contracts to get my cell phone service.

And there's a line here that says, well, I can't even sue AT&T if they get something wrong.

I'm going to end up in arbitration.

And that arbitration is...

Like, of course, it's just going to be against me.

Like, there's nothing I can do.

I'm just signing away my rights.

How do you feel about that in this context?

Because that feels like as big of a problem as anything.

We need to take a quick break.

We'll be right back.

Hi, everyone.

This segment of Decoder Sessions features my boss, Helen Havlak, the Veritas publisher, and L'Oreal Group's Global Vice President of Tech and Open Innovation.

I think you're going to enjoy this conversation.

We're back with Bridget McCormick, the head of the American Arbitration Association.

Before the break, Bridget was explaining the nature of arbitration, how it differs from traditional court here in the United States, and how her experience as the former chief justice of the Michigan Supreme Court shaped her philosophy on judicial outcomes.

Now I want to get into the heart of the matter, which is the ambitious project to bring large language models and agents to dispute resolution, something called the AI arbitrator.

I'm starting with this issue of fairness because I feel like when you automate the systems, all of the things that make things feel fair or unfair get heightened, get magnified in very specific ways.