690: How to Catch and Fix Harmful Generative A.I. Outputs

from Super Data Science: ML & AI Podcast with Jon Krohn · host Jon Krohn

Krishna Gade, the founder and CEO of Fiddler.AI, discusses the challenges faced by Large Language Models (LLMs) in Generative AI, including inaccuracies, biases, and privacy risks. He emphasizes the importance of monitoring to build trust in AI and highlights Fiddler's explainability algorithms and pre-built bias detection tools as vital solutions.Additional materials: www.superdatascience.com/690Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

Episode metadata supplied by the publisher feed · Published Jun 23, 2023

Embed this episode

Attribution link and audio player

NOW PLAYING

690: How to Catch and Fix Harmful Generative A.I. Outputs

0:00 26:14

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

Episode 30 - How to Read and Interpret a Balance Sheet – Part 5

Jan 27, 2024 ·12m

Episode 28 - How to Read and Interpret a Balance Sheet – Part 4

Jan 19, 2024 ·9m

Episode 27 - How to Read and Interpret a Balance Sheet – Part 3

Jan 18, 2024 ·5m

Episode 26 - How to Read and Interpret a Balance Sheet – Part 2

Jan 14, 2024 ·6m

Episode 25 - How To Read And Interpret A Balance Sheet - Part 1

Jan 5, 2024 ·7m

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Super Data Science: ML & AI Podcast with Jon Krohn?

This episode is 26 minutes long.

When was this Super Data Science: ML & AI Podcast with Jon Krohn episode published?

This episode was published on June 23, 2023.

Can I download this Super Data Science: ML & AI Podcast with Jon Krohn episode?

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

URL copied to clipboard!