Human AI Cooperation

Human-AI cooperation research focuses on designing effective partnerships between humans and artificial intelligence to solve complex problems beyond the capabilities of either alone. Current efforts concentrate on developing frameworks that facilitate seamless interaction, including preference-based reinforcement learning and dynamic structural equation modeling to predict and manage human trust in AI systems. These advancements are crucial for optimizing the use of AI in various domains, from autonomous driving to collaborative robotics, and for understanding the dynamics of human-AI teamwork in diverse settings. The ultimate goal is to create robust and adaptable systems that leverage the strengths of both humans and AI for improved efficiency and problem-solving.