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How Microsoft is Making AI Trustworthy
Oct 16, 2024
Sarah Bird, Microsoft's Global Lead for Responsible AI Engineering, discusses the importance of making AI trustworthy. She sheds light on the significant limitations in AI reasoning, raising ethical concerns, especially in warfare. Sarah emphasizes the proactive measures Microsoft is taking in responsible AI practices, balancing innovation with safety. The conversation touches on how AI can be effectively integrated into education, advocating for ethical guidance to nurture responsible future users of technology.
01:05:36
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Quick takeaways
- Responsible AI practices are essential, requiring robust testing, monitoring, and governance to ensure ethical and safe deployment of applications.
- Research shows that large language models primarily rely on pattern matching rather than true reasoning, challenging misconceptions about their capabilities.
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The Importance of Responsible AI
Responsible AI is becoming paramount in the rapidly evolving landscape of artificial intelligence. Organizations are recognizing the need to prioritize responsible practices even before launching AI initiatives. Sarah Bird of Microsoft emphasizes that the focus has shifted from merely building models to ensuring the safe and responsible deployment of AI applications. This involves a multi-layered approach that includes robust testing, monitoring, and governance strategies that prioritize user safety and ethical considerations.
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