Artificial intelligence systems increasingly automate and assist people in making managerial and governance decisions. AI manages worker routines and tasks, determines how to distribute resources within cities, and assists in transportation management. The recent COVID-19 pandemic highlights the need to develop ethical triage systems in order to help decision-makers allocate scarce resources such as medical and food supplies. An AI system can promise efficiency. However, it also risks having disparate impacts and can further the inequity experienced by marginalized communities. Our project addresses a gap in this research through a sociotechnical approach, optimizing both technical performance and quality of life. We propose designing a system that helps policymakers and communities collaboratively design AI governance systems that work for them.
School of Information
Department of Population Health
Department of Computer Science