Joining How AI Happens today is Dr. Haniyeh Mahmoudian, Global AI Ethicist at DataRobot. Dr. Mahmoudian specializes in providing technical and educational guidance on the development of responsible AI. She holds a Ph.D. in Astronomy and Astrophysics from Bonn University, and was named an AI Ethics leader by Forbes. She is also a member of the National AI Advisory committee (NAIAC) that guides the President on ethical AI development and use.
In our conversation, we learn about her professional journey and how this led to her working at DataRobot, what she realized was missing from the DataRobot platform, and what she did to fill the gap.We discuss the importance of bias in AI models, approaches to mitigate models against bias, and why incorporating ethics into AI development is essential. We also delve into the different perspectives of ethical AI, the elements of trust, what ethical “guard rails” are, and the governance side of AI.Key Points From This Episode:
Tweetables:“When we talk about ‘guard rails’ sometimes you can think of the best practice type of ‘guard rails’ in data science but we should also expand it to the governance and ethics side of it.” — @HaniyehMah “Ethics should be included as part of to truly be able to think about trusting a system.” — @HaniyehMah “ ethics as a sub-category but in a broader term of trust within a system.” — @HaniyehMah “So depending on the persona, we would need to think about what kind of features we would have .” — @HaniyehMah
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