DiscoverMIT Technology Review NarratedIn Machines We Trust: Generating creativity
In Machines We Trust: Generating creativity

In Machines We Trust: Generating creativity

Update: 2023-04-05
Share

Description

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.

Comments 
loading
00:00
00:00
1.0x

0.5x

0.8x

1.0x

1.25x

1.5x

2.0x

3.0x

Sleep Timer

Off

End of Episode

5 Minutes

10 Minutes

15 Minutes

30 Minutes

45 Minutes

60 Minutes

120 Minutes

In Machines We Trust: Generating creativity

In Machines We Trust: Generating creativity

MIT Technology Review