Stanford Seminar - Designing for Human - AI Complementarity

Ken Holstein Carnegie Mellon University March 5, 2021 AI systems are increasingly used to support human work in richly social contexts such as education, healthcare, and social work. To ensure that AI systems do more good than harm, it is critical that they are designed to bring out the best of human ability while also helping to overcome human limitations. In some cases, AI has the potential to help humans scale the delivery of services, make more equitable decisions, and free up human time for more meaningful activities. Yet if not carefully designed, AI systems risk rigidly scaling practices without sensitivity to local context, propagating harmful inequities, or automating away valuable human-human interactions. In this talk, I will share work towards the design of systems that combine complementary strengths of human and AI decision-making, across two main research strands: 1) co-designing effective human-AI partnerships for K-12 education and 2) supporting fairer decision-making in h