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Mike Lee discusses his research on explainable AI and how to make AI decision making more transparent to humans through informative demonstrations. He found that selecting demonstrations based on maximizing information gain can be overwhelming and lead to poor results. Instead, he proposes selecting demonstrations that show specific trade-offs in different situations.
