Human AI Decision Making

Human-AI decision-making research focuses on optimizing the collaboration between humans and artificial intelligence to improve decision-making accuracy and efficiency across various domains. Current research emphasizes understanding how factors like explainability, fairness, and human intuition influence reliance on AI advice, often employing offline reinforcement learning to model human-AI interactions and optimize for diverse objectives beyond mere accuracy. This field is crucial for developing safe and effective AI systems in high-stakes applications, requiring a multidisciplinary approach combining insights from AI, human-computer interaction, and behavioral science to build robust and trustworthy human-AI partnerships.