
Sign up to save your podcasts
Or


Artificial intelligence is letting us make predictive algorithms that translate languages and spot diseases as well or better than humans. But these systems are also being used to make decisions about hiring and criminal sentencing. Do computers trained on vast datasets of human experience learn human biases, like sexism and racism? Is it possible to create an algorithm that is fair for everyone? And should you have the right to know when these algorithms are being used and how they work?
For links to materials referenced in the episode, suggestions for further learning, and guest bios, visit bravenewplanet.org.
Learn more about your ad-choices at https://www.iheartpodcastnetwork.com
See omnystudio.com/listener for privacy information.
By Pushkin Industries4.4
433433 ratings
Artificial intelligence is letting us make predictive algorithms that translate languages and spot diseases as well or better than humans. But these systems are also being used to make decisions about hiring and criminal sentencing. Do computers trained on vast datasets of human experience learn human biases, like sexism and racism? Is it possible to create an algorithm that is fair for everyone? And should you have the right to know when these algorithms are being used and how they work?
For links to materials referenced in the episode, suggestions for further learning, and guest bios, visit bravenewplanet.org.
Learn more about your ad-choices at https://www.iheartpodcastnetwork.com
See omnystudio.com/listener for privacy information.

32,082 Listeners

26,160 Listeners

9,178 Listeners

384 Listeners

59,171 Listeners

112,489 Listeners

4,135 Listeners

553 Listeners

9,687 Listeners

825 Listeners

570 Listeners

14,391 Listeners

5,151 Listeners

404 Listeners

72 Listeners

1,802 Listeners

4,404 Listeners

2,098 Listeners

80 Listeners

462 Listeners

1,236 Listeners

231 Listeners

263 Listeners

432 Listeners

148 Listeners

332 Listeners

374 Listeners

97 Listeners

78 Listeners

285 Listeners

277 Listeners

258 Listeners

56 Listeners