Explainable AI Necessities
Explainability and auditability are essential for AI systems, ensuring that decisions made by these technologies are transparent and trustworthy. As AI continues to evolve, it holds the potential for both significant benefits and risks, particularly in areas like autonomous vehicles and healthcare. Society must implement these technologies with integrity and provide support for those affected by job displacement, fostering a future where AI serves the greater good.In this clip
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AI Today Podcast
AI Today Podcast #73: Tackling Transparent & Responsible AI – Interview with Steve Eglash, Director of Strategic Research Initiatives, Stanford University
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