Exploring Ethical Algorithms with Michael Kearns

In a conversation with Michael Kearns, a professor at the University of Pennsylvania and co-author of the book "Ethical Algorithm," the discussion revolves around algorithmic fairness, bias, privacy, and ethics in machine learning. Kearns shares insights from his extensive research, covering topics like game theory and machine learning's implications in the financial sector. The conversation delves into the challenges of ensuring fairness and ethical standards in algorithms, the impact of societal norms, the importance of individual versus group fairness, and prospects for algorithm-driven decision-making in today's technology-driven world