In this episode, Sanjay Krishnan, Assistant Professor of Computer Science at the University of Chicago, discusses the rapid evolution of artificial intelligence and emergent behaviors in modern machine learning systems. His research focuses on building reliable data systems that function accurately even when data is incomplete, corrupted, or uncertain.

Tune in to explore:

• How AI has evolved over the past 15 years and what drives emergent intelligence.
• The three key factors that make AI powerful and adaptive.
• The role of human-provided data in shaping machine learning models.
• How AI poisoning occurs and methods to detect it, improving security and trustworthiness.

Sanjay also shares insights into privacy, cybersecurity, and real-world applications of AI, revealing how intelligent systems are solving complex problems and adapting in surprising ways.

Learn more about Sanjay Krishnan and his research here!

Episode also available on Apple Podcasts: https://apple.co/38oMlMr

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