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39. What you didn't know about AI transparency with Rania Wazir, co-founder and AI expert

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Manage episode 361169192 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In episode 39 of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, is joined by Rania Wasir, co-founder and CTO of leiwand.ai, to discuss AI transparency, the misconceptions surrounding AI transparency and fairness, and why having a standard for transparency is important. The episode also explores the concepts of fairness and explainability in AI, and how they differ from transparency. The challenges of detecting biases in large language models such as ChatGPT are also explored.

  continue reading

52 episodes

Artwork
iconShare
 
Manage episode 361169192 series 2895967
Content provided by Alexandra Ebert (MOSTLY AI). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Alexandra Ebert (MOSTLY AI) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In episode 39 of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, is joined by Rania Wasir, co-founder and CTO of leiwand.ai, to discuss AI transparency, the misconceptions surrounding AI transparency and fairness, and why having a standard for transparency is important. The episode also explores the concepts of fairness and explainability in AI, and how they differ from transparency. The challenges of detecting biases in large language models such as ChatGPT are also explored.

  continue reading

52 episodes

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