This podcast episode features Michael from NVIDIA discussing trustworthy AI and the company's approach to responsible technology development. He explains NVIDIA's framework for trustworthy AI, which includes principles of privacy, safety and security, explainability and transparency, and non-discrimination. Michael also shares insights on challenges in the AI industry, particularly in areas like automotive technology, and emphasizes the importance of tackling unsolved problems and enabling accessibility in AI development.
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Chapters:
00:53 - Understanding AI and the Need for Trustworthy AI"
09:50 - NVIDIA's Approach to Trustworthy AI and Challenges in Growth
19:56 - A suitable short title for this podcast transcript section could be
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Host Links
https://www.linkedin.com/in/brucemonacoinstituteforai/
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Guest Links
https://www.linkedin.com/in/michaelrboone/
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AI, trustworthy, NVIDIA, technology, transparency, computer vision, civil engineering, infrastructure, data, safety, privacy, generative AI, automotive, sustainability, innovation, ethics, Model Card++, Nemo Guardrails, responsibility, accessibility