Human AI Collaborative Decision Making

Human-AI collaborative decision-making explores how humans and artificial intelligence can work together to make better decisions, particularly in complex domains like healthcare and emergency response. Current research focuses on improving AI explainability (XAI) through methods like counterfactual and example-based explanations to enhance human trust and reduce over-reliance on potentially flawed AI suggestions, and also investigates how to effectively integrate AI into group decision-making processes. This field is crucial for developing trustworthy and effective AI systems, ultimately impacting various sectors by improving decision quality and efficiency.