Watch a Stanford seminar exploring how human engagement behaviors impact AI-assisted decision making processes. Delve into research findings presented by Purdue University's Ming Yin that reveal how human heuristics and biases influence interactions with AI-based decision aids. Learn about innovative approaches to enhance human-AI collaborative decision making by designing AI systems that can anticipate and adapt to human engagement patterns. Discover strategies for presenting AI recommendations in ways that promote appropriate reliance on artificial intelligence while accounting for human competence in decision making. Gain insights from real-world examples of both individual and group decision-making scenarios where human engagement with AI assistance is shaped more by cognitive shortcuts than careful evaluation of respective capabilities. The 51-minute talk draws from Ming Yin's extensive research in human-AI interaction, crowdsourcing, and computational social sciences, recognized through multiple awards and featured in prominent media outlets. Read more