Epistemic Uncertainty - The AI Problem Understanding Gap and Structured Societal Context Knowledge
Explore the critical issue of epistemic uncertainty in machine learning and artificial intelligence development through this insightful lecture by Donald Martin, Jr. from Google Research. Delve into the AI Problem Understanding Gap and the crucial need for structured societal context knowledge to ensure safe and robust AI systems. Examine the risks associated with applying ML/AI in high-stakes domains like healthcare, where developers often lack sufficient contextual understanding of complex problems and socio-technical environments. Discover the importance of incorporating deep, qualitative contextual knowledge from civil society members who are most affected by and vulnerable to potential AI harms. Gain valuable insights into the challenges of integrating this crucial information into product development workflows and learn about potential strategies to bridge the knowledge gap for safer AI implementation.