AI technologies have transformed optimization and automation in complex decision-making settings, and have created a new paradigm for the role of AI in smart cities. These technologies are increasingly utilized in critical social, urban, and mobility systems to perform or inform resource allocation and urban planning tasks. Therefore, it is critical to evaluate the performance of these systems not only from a lens of predictive power and rate of error but also from a lens of fairness and trustworthiness. In this talk, Arya will discuss his work on quantifying fairness and trustworthiness and mitigating bias in AI-decision support systems and some of my on-going projects with the city of Detroit.
Speaker: Arya Farahi
Arya Farahi is an Assistant Professor in the department of Statistics and Data Science. He is a co-founder of the Data Informed Cities for Everyone, a multi-institutional research collaboration that uses data to inform budget planning, resource allocation, and policy evaluation in urban settings. He also has a history of successful collaboration with the World Economic Forum and the cities of Detroit and Flint.
