Bias in AI: Impact, Challenges, and Opportunities

from Software Engineering Institute (SEI) Podcast Series · host Carol Smith, Jonathan Spring

In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human-machine interaction, and Jonathan Spring, a senior vulnerability researcher, discuss the hidden sources of bias in artificial intelligence (AI) systems and how systems developers can raise their awareness of bias, mitigate consequences, and reduce risks.

Episode metadata supplied by the publisher feed · Published Sep 23, 2021

Embed this episode

Attribution link and audio player

NOW PLAYING

Bias in AI: Impact, Challenges, and Opportunities

0:00 24:58

1×

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.

Share this episode

Similar Episodes

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Software Engineering Institute (SEI) Podcast Series?

This episode is 24 minutes long.

When was this Software Engineering Institute (SEI) Podcast Series episode published?

This episode was published on September 23, 2021.

Can I download this Software Engineering Institute (SEI) Podcast Series episode?

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

URL copied to clipboard!