AI Licensing & Fairly Trained

Monday 18 November from 18:00 to 19:00 CET  (Geneva time)

Licensing required for AI training purposes is simple in the digital age, and there is no excuse to ignore it. Direct and collective licensing models are ubiquitous, flexible, efficient, and continue to evolve. Technology companies can respect copyright and avoid liability. Yet, many have been infringing rights and calling for weaker copyright protections. In this webinar, we will hear from our expert speakers about how licensing is and will continue to address the needs of responsible AI developers and how Fairly Trained is making sure that creators and copyright owners are treated fairly and get a say in whether or not their work is trained on by Generative AI.

Speakers: 

  • Maria Pallante, President and CEO, Association of American Publishers (AAP)
  • Ed Newton Rex, Founder, Fairly Trained

Registration link: upon request

Maria Pallante
Maria Pallante
 Maria A. Pallante has served as President and Chief Executive of the Association of American Publishers since 2017. Working with her talented team, she leads the organization’s public policy, information, and litigation programs in support of the modern publishing industry, with a particular focus on content protections, freedom of expression, and digital markets. Previously, she served as Director of the U.S. Copyright Office, where she advised Congress on major legislative initiatives, including Internet policy, licensing, and small claims; modernized the agency’s regulatory practices; and represented the United States on treaty and diplomatic delegations. Earlier, Ms. Pallante was in-house counsel with the worldwide Guggenheim Museums, counsel with the Authors Guild, and a lawyer in private practice. She serves on numerous boards and professional committees and has delivered a number of prominent legal lectures throughout her career. She teaches copyright at George Washington University Law School.

 

Ed Newton-Rex
Ed Newton-Rex
 Ed Newton Rex is CEO of Fairly Trained, a non-profit he founded in 2024 that certifies generative AI companies for fairer training data practices. In 2010 he founded Jukedeck, one of the first AI music generation startups, which was acquired by ByteDance. At ByteDance, Ed led the AI Music lab, then led Product for TikTok in Europe. He later led the Audio team at Stability AI, where his team’s product, Stable Audio, was named one of TIME Magazine’s best inventions of the year in 2023. He is a Visiting Scholar at Stanford University and a composer of choral music.