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This is a conversation with Ravit Dotan, an expert in AI ethics and responsible AI governance. In this episode, we delve into the crucial topic of AI ethics implementation and ensuring it is grounded in genuine moral principles that respect all stakeholders. Ravit shares her insights on the need for a comprehensive and coherent framework of ethical guidelines, guidance for AI developers and users, fundamental challenges of bias, discrimination, and inequality in AI decision-making, implications of AI ethics for different domains, transparency, and accountability, and fostering a culture of ethical awareness and responsibility. Join us as we explore these important issues surrounding AI ethics. Ravit Dotan Ravit Dotan is an accomplished AI researcher, advocate for responsible AI governance, and creator of tech ethics content. She is the Co-Founder and Director of the Collaborative AI Responsibility (CAIR) Lab at the University of Pittsburgh, where she leads research on responsible AI governance, and is also a Responsible AI advocate at Bria.ai, a generative AI startup. Ravit's work has been featured in publications such as the New York Times and TechCrunch, and she was recognized as one of the 100 Brilliant Women in AI ethics 2023 by Women in AI Ethics. She received a 2022 "Distinguished Paper" Award from FAccT, the top AI ethics conference, and earned a Ph.D. in Philosophy from UC Berkeley. Read more about Ravit: https://www.ravitdotan.com/ Chapters 00:00 In this episode... 00:45 Introduction 01:47 Implementation of AI ethics 09:50 Comprehensive and Coherent framework of ethical guidelines 14:00 Guidance to AI developers and users 23:51 Fundamental challenges of bias, discrimination, and inequality in AI decision-making 27:50 Implications of AI ethics for different domains 32:46 Transparency and Accountability 35:35 Fostering a culture of ethical awareness and responsibility #aiethics