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 policy makers and communities collaboratively design AI governance systems that work for them.
Min Kyung Lee (School of Information), Virginia A. Brown (Department of Population Health), Katherine Rich (Department of Communication Studies), Joel Afriyie (Department of Computer Science), Aashna Lal (College of Liberal Arts) and Alyssa Parra (City of Austin Development Services Department)