Programming Note & UnCommon Law Episode: AI Trained on Famous Authors’ Copyrighted Work. They Want Revenge – Part 1

Cases and Controversies

Cases and Controversies is on hiatus for a bit while we create some great new episodes for you. Until then, we're pleased to offer a special presentation of our ABA Silver Gavel award-winning series, UnCommon Law.

Generative AI tools are already promising to change the world. Systems like OpenAI's ChatGPT can answer complex questions, write poems and code, and even mimic famous authors with uncanny accuracy. But in using copyrighted materials to train these powerful AI products, are AI companies infringing the rights of untold creators?

This season on UnCommon Law, we'll explore the intersection between artificial intelligence and the law. Episode one examines how large language models actually ingest and learn from billions of online data points, including copyrighted works. And we explore the lawsuits filed by creators who claim their copyrights were exploited without permission to feed the data-hungry algorithms powering tools like ChatGPT.

If you like this episode and want to hear part 2, visit news.bloomberglaw.com/podcasts, or search for UnCommon Law in your podcast app.

Guests:

• Matthew Butterick, founder at Butterick Law, and co-counsel with the Joseph Saveri Law Firm on class-action lawsuits against OpenAI and others
• Isaiah Poritz, technology reporter for Bloomberg Law
• James Grimmelmann, professor of digital and information law at Cornell Tech and Cornell Law School