In Machines We Trust: Can AI fix your credit?

What this episode covers

Credit scores have been used for decades to assess consumer creditworthiness, but their scope is far greater now that they are powered by algorithms: not only do they consider vastly more data, in both volume and type, but they increasingly affect whether you can buy a car, rent an apartment, or get a full-time job. We meet: Chi Chi Wu, staff attorney at National Consumer Law Center Michele Gilman, professor of law at University of Baltimore Mike de Vere, CEO Zest AI Credits: This episode was produced by Jennifer Strong, Karen Hao, Emma Cillekens and Anthony Green. We’re edited by Michael Reilly.

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Frequently Asked Questions

How long is this episode of MIT Technology Review Narrated?

This episode is 19 minutes long.

When was this MIT Technology Review Narrated episode published?

This episode was published on May 12, 2021.

What is this episode about?

Credit scores have been used for decades to assess consumer creditworthiness, but their scope is far greater now that they are powered by algorithms: not only do they consider vastly more data, in both volume and type, but they increasingly affect...

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