Skip to content
TrackPodcasts
technologyApr 5, 202318:46pending

In Machines We Trust: Generating creativity

About this episode

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.

Get every episode summarized

Each time MIT Technology Review Narrated publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.

Email me new episodes

Free for 3 shows. No card needed.

Hosts & guests

No transcript yet

This episode has not been transcribed. Request it and it moves to the front of the queue.

In Machines We Trust: Generating creativity

MIT Technology Review Narrated

0:00
18:46

More episodes

More from MIT Technology Review Narrated

View all episodes →