AI was supposed to make smarter decisions. Iit may be making leaders dangerous

- This video argues that while AI was expected to improve decision-making by removing human bias, it may instead be making leaders more reckless and dangerous by providing a false sense of certainty and moral cover for risky choices. - The core concern is "automation bias" — the human tendency to over-trust machine recommendations — amplified when leaders use AI predictions (e.g., in military strikes, hiring, or economic policy) without questioning flawed data or black-box logic. - The speaker likely references cases like predictive policing systems that reinforce racial bias, or AI-assisted drone targeting that lowers the psychological barrier to lethal force, suggesting that AI doesn't eliminate bias but hides it behind a technical veneer. - Key context: growing backlash in tech and policy circles against "solutionism" — the belief that data-driven algorithms can solve inherently human problems of judgment, accountability, and ethics.