In Machines We Trust: Generating creativity

What this episode covers

This episode we meet people building next generation tools for creativity who are thinking about how these AI models should be trained and deployed in order to be both useful and fair to artists. We hear from: Artist Holly Herndon Adobe CTO Digital Media Ely Greenfield Soundful CEO Diaa El All Links: https://www.ted.com/talks/holly_herndon_what_if_you_could_sing_in_your_favorite_musician_s_voice https://www.technologyreview.com/2023/02/03/1067786/ai-models-spit-out-photos-of-real-people-and-copyrighted-images/ https://www.technologyreview.com/2022/12/16/1065247/artists-can-now-opt-out-of-the-next-version-of-stable-diffusion/ Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.

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How long is this episode of MIT Technology Review Narrated?

This episode is 18 minutes long.

When was this MIT Technology Review Narrated episode published?

This episode was published on April 5, 2023.

What is this episode about?

This episode we meet people building next generation tools for creativity who are thinking about how these AI models should be trained and deployed in order to be both useful and fair to artists. We hear from: Artist Holly Herndon Adobe CTO Digital...

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