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Artificial Intelligence and Society book cover

1st Edition

Artificial Intelligence and Society

Edited By Ayan , Mukhopadhyay, Yevgeniy Vorobeychik Copyright 2026
250 Pages
by River Publishers

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,... Read more

1. Introduction

2. Applications of AI for Social Impact

3. AI for Smart Transportation

4. AI for Sustainable Energy Management

5. AI for HIV Awareness

6. Algorithms for Matching Market Design

7. AI for Emergency Response

8. AI for Smart Healthcare

Computational Game Theory for Security

Green Security Game and Community Engagement

Cross-cutting Challenges

Privacy-preserving Technologies for Artificial Intelligence

Fairness in AI

Security of AI Systems

AI Ethics, Law, and Policy

Biography

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.

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