AI Principles Development
A pivotal discussion at Microsoft led to the establishment of six core AI principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. This initiative, spearheaded by Satya, also birthed the Ether committee, focusing on AI ethics and its implications in engineering and research. The sensitive uses panel was created to define and review potentially harmful applications of AI technology, marking a significant step in responsible AI governance.In this clip
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The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
AI and Society: Past, Present and Future with Eric Horvitz - #493
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