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/

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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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