Abstract:
Digital data and artificial intelligence are shaping our world more than ever before. But how can these powerful tools be leveraged to generate meaningful insights for psychological and social science research? In this talk, Rosa Lavelle-Hill will introduce two key approaches for moving from algorithms to explanation: interpretable machine learning models and explainable AI (XAI) methods. She will then illustrate these approaches with examples from her own research, with a particular focus on applications that promote social good.