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What is Explainability in AI?
Publisher |
Luca Marchesotti
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Sep 05, 2022
Episode Duration |
00:07:24

Can we trust AI algorithms to make decisions for us? If the algorithm makes a mistake, who's responsible for it? It all boils down to being able to track how the machine learning model has been built. In other words, explainability!

In this episode we mentioned the following resources:

https://en.wikipedia.org/wiki/Explainable_artificial_intelligence

https://www.napier.ai/post/explainability-in-ai

https://vitalflux.com/what-is-explainable-ai-concepts-examples/

Listen to us on these channels:

Pocket Casts: https://pca.st/ou3g8gao

Stitcher: https://www.stitcher.com/show/664669

Listen Notes: https://www.listennotes.com/podcasts/business-of-artificial-intelligence-luca-FqNd0xHXMSl/#podcaster

Podcast Addict: https://podcastaddict.com/podcast/3701044

Deezer: https://deezer.com/show/3142642

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Apple: https://podcasts.apple.com/us/podcast/artificial-intelligence-101/id1595568010

Spotify: https://open.spotify.com/show/5rRlgZl3h3SyTAY3hjWV2T

Youtube: https://www.youtube.com/channel/UCKMeEUHZYISFIm-FLYEUvSQ

Do you have any AI questions you would like us to address?

Leave a comment here or connect with us on Twitter: https://twitter.com/lucamarchesotti

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