This episode delves into AI alignment, focusing on ensuring that AI systems act in ways aligned with human values. The discussion centers around a study using FairMindSim, a simulation framework that examines human and AI responses to moral dilemmas, particularly fairness. The study features a multi-round economic game where LLMs, like GPT-4o, and humans judge the fairness of resource allocation. Key findings include GPT-4o's stronger sense of social justice compared to humans, humans exhibiting a broader emotional range, and both humans and AI being more influenced by beliefs than rewards. The episode also highlights the Belief-Reward Alignment Behavior Evolution Model (BREM), which explores the interaction between beliefs and rewards in decision-making.
The episode emphasizes the importance of understanding beliefs in AI alignment, suggesting collaboration between AI research and social sciences. It also acknowledges the need for future research to incorporate cultural diversity and test a broader range of AI models.
https://arxiv.org/pdf/2410.10398