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Designing for Intelligibility: Building Responsible AI with Jenn Wortman Vaughan
Publisher |
Radical AI
Media Type |
audio
Categories Via RSS |
Technology
Publication Date |
Sep 02, 2020
Episode Duration |
01:13:12

What are the differences between explainability, intelligibility, interpretability, and transparency in Responsible AI? What is human-centered machine learning? Should we be regulating machine learning transparency? 

 

To answer these questions and more we welcome Dr. Jenn Wortman Vaughan to the show.

 

Jenn is a Senior Principal Researcher at Microsoft Research. She has been leading efforts at Microsoft around transparency, intelligibility, and explanation under the umbrella of Aether, their company-wide initiative focused on responsible AI. Jenn’s research focuses broadly on the interaction between people and AI, with a passion for AI that augments, rather than replaces, human abilities.

 

Full show notes for this episode can be found at Radicalai.org

 

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