In Machines We Trust: Generating creativity episode artwork

EPISODE · Apr 5, 2023 · 18 MIN

In Machines We Trust: Generating creativity

from MIT Technology Review Narrated · host MIT Technology Review

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.

Episode metadata supplied by the publisher feed · Published Apr 5, 2023

Embed this episode

NOW PLAYING

In Machines We Trust: Generating creativity

0:00 18:46

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar podcasts found.

Frequently Asked Questions

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.

Can I download this MIT Technology Review Narrated episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!