In Machines We Trust: Generating creativity
How should generative AI models be trained and deployed in order to be both useful and fair to artists?
MIT Technology Review Narrated
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Show Notes
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.