Moral Hazard in Multi-Agent Language Models
The episode discusses a paper titled "Moral Hazard in Multi-Agent Language Models," written by authors from McGill University and Mila. The hosts explore how this economic concept applies to AI agents, examining whether they will cooperate when doing so costs them something. They detail an experiment testing various models and conclude that evaluation must focus on the process of decision-making, not just the final outcome.