As algorithms increasingly influence who receives healthcare, housing, and employment, Artificial Intelligence and Society examines how AI is reshaping public life--and how it must be governed to serve the public good.
Bringing together leading voices in computer science and public policy, this volume explores how AI can address urgent societal challenges while confronting issues of fairness, privacy, security, and accountability. Through carefully selected technical case studies and real-world deployments--from smart transportation and emergency response to public health, sustainable energy, security, and conservation--the book highlights both the promise and the risks of AI in high-stakes settings.
Designed for advanced students, researchers, and practitioners, the book provides foundational insight alongside critical perspectives on responsible AI deployment. Edited by Ayan Mukhopadhyay and Yevgeniy Vorobeychik, Artificial Intelligence and Society offers not just a vision of what AI can achieve, but a framework for what it must achieve.
Dr. Ayan Mukhopadhyay is a senior research scientist at Vanderbilt University and an incoming Assistant Professor of Computer Science at the College of William & Mary. His research focuses on developing scalable and adaptive algorithmic methods for decision-making under uncertainty for positive societal impact. He is the recipient of the 2020 Google AI Impact Scholar Award. Ayan's work has won best paper awards at multiple top-tier venues, such as IJCAI, ICCPS, INFORMS, ICLR's AI for Good Workshop, and the Google Research AI for Good program. Ayan is particularly passionate about translating research to practice, and his work has been successfully deployed by multiple community partners in several countries. Previously, he was a postdoctoral fellow at Stanford University, where he received the Center for Automotive Research postdoctoral fellowship. He holds a doctorate in Computer Science from Vanderbilt University.
Dr. Yevgeniy Vorobeychik is a Professor of Computer Science and Engineering in Washington University in St. Louis. His research focuses on game-theoretic modeling of security and privacy, adversarial machine learning, algorithmic and behavioral game theory, incentive design, optimization, agent-based modeling, complex systems, network science, and epidemic control. He was an assistant professor of computer science and biomedical informatics at Vanderbilt University from 2013 until 2018, and a principal research scientist at Sandia National Laboratories from 2010 until 2013. Between 2008 and 2010 he was a post-doctoral research associate at the University of Pennsylvania Computer and Information Science department. He holds a doctorate in Computer Science from the University of Michigan. Professor Vorobeychik received an NSF CAREER award in 2017 and was invited to give an IJCAI-16 early career spotlight talk. He was nominated for the 2008 ACM Doctoral Dissertation Award and received honorable mention for the 2008 IFAAMAS Distinguished Dissertation Award.
