Sayesh Kapoor

Sayesh Kapoor, a Ph.D. candidate specializing in AI at Princeton University, dives into the pitfalls of artificial intelligence. He discusses the alarming consequences of flawed algorithms, like a case in the Netherlands where parents were wrongly accused of fraud. Kapoor examines the implications of predictive AI in healthcare and finance and raises concerns regarding sampling bias and the necessity for transparency. He emphasizes the need for a balance between AI's capabilities and human judgment to avoid disastrous outcomes.