Centering AI in Society and Ethics (CASE) Initiative
Understanding and Shaping the Future of AI to Benefit Everyone
Understanding and Shaping the Future of AI to Benefit Everyone
Speaker: Dr. Chandra Bhat
Title: Behaviorally Grounded Ethics for Autonomous Mobility and Access to Activities
Abstract: The integration of autonomous vehicles (AVs) into modern transportation systems raises profound ethical, behavioral, and societal questions. At the forefront of this dialogue is the challenge of embedding ethical reasoning into AV decision-making, particularly when faced with trade-offs involving safety, fairness, access to activities, and individual freedom. While popular discussions often focus on moral dilemmas such as the “trolley problem,” a more impactful ethical inquiry centers on systemic issues—who benefits, who are at risk of being left behind, and how AV deployment reshapes mobility and activity access patterns. In this presentation, we will discuss the importance of understanding individual activity-travel behavior for ethically informed AV design and policy, emphasizing the heterogeneity of preferences across population groups, and underscoring the need for AV systems and infrastructure investments to recognize diverse mobility and activity access needs. In this regard, the abstract moral frameworks that dominate AV ethics debates must evolve to include theoretically and empirically grounded insights on how people actually make activity-travel decisions, and how those decisions interact with infrastructure, pricing, and policy. Bridging this gap between normative ethics and activity-travel behavioral science is essential to ensure that AVs promote not just technological efficiency, but also social good.
Speaker: Dr. Noah Goodall (Virgina DOT)
Title: How to Talk to Engineers about Autonomous Vehicle Ethics
Abstract: Engineers building autonomous vehicles often dismiss ethical discussions as impractical philosophical exercises, particularly when confronted with trolley problem scenarios. Yet all driving introduces risk, and decisions about how to distribute this risk among road users have clear ethical components that cannot be ignored. This talk draws on my experiences from the early days of automated vehicle research, when engineers, philosophers, sociologists, and legal scholars first collaborated on this emerging technology under intense media scrutiny. Based on these experiences—and the frequent communication failures I witnessed —I argue for a strategic reframing of automated vehicle ethics using risk management principles that engineers already understand and value. Rather than starting with hypothetical crash dilemmas, I demonstrate how routine driving decisions about lane positioning, following distances, and headway selection involve probabilistic risk distribution with obvious moral implications. This risk-centered approach provides transparent, quantifiable frameworks for ethical decision-making while speaking the language of trade-offs and optimization that engineers find familiar and actionable. This approach is crucial for engaging rather than repelling the engineers who, in the absence of legislation, are ultimately the ones embedding moral decisions into their software.
Dr. Noah Goodall
Noah Goodall, Ph.D., P.E. is a senior research scientist with the Virginia Transportation Research Council, a partnership between the Virginia Department of Transportation and the University of Virginia. He researches safety, operations, and autonomous vehicles.
Dr. Chandra R. Bhat
Dr. Chandra R. Bhat is the Joe J. King Endowed Chair Professor in Engineering at The University of Texas (UT) at Austin, where he teaches courses in transportation systems analysis and transportation planning. He has been a pioneer in the formulation and use of statistical and econometric methods to analyze human choice behavior for transportation and urban policy design. His current research includes the social and environmental aspects of transportation, planning implications of connected and automated smart transportation systems (CASTS), e-commerce and information and communication technology (ICT) impacts on the activity and mobility behaviors of consumers and upstream supply chain providers, and data science and predictive analytics. He is a recipient of many awards, including, most recently, the 2024 W.N. Carey, Jr. Distinguished Service Award from the Transportation Research Board (TRB) and the 2024 Joe King Professional Service Award from the University of Texas’s Cockrell Engineering School. He was listed in 2017 as one of the top ten transportation thought leaders in academia by the Eno Foundation. Dr. Bhat currently serves as the Editor-in-Chief of Transportation Research – Part B, as well also as the Director of the USDOT-funded National Center on “Understanding the Future of Travel Behavior and Demand”.
Awards for Selected Early Scholar Abstracts
Selected early scholar (Master’s student, PhD student, or post-doc) abstract submissions will be selected for a travel assistance award of either $200 (eligible to those with a U.S. bank account) or two-nights stay at the Aloft Raleigh (a value of ~$378), across the street from the iconic NC State Memorial Belltower and the Gregg Museum of Art & Design (free admission). If you would like to be considered for a travel assistance award, please mention this in your abstract submission email.
The editorial board requests extended abstracts of roughly 500 words, due on August 30, 2025.
Accommodations
The Aloft Raleigh, which is within easy walking distance of NC State University’s North Campus, has reserved a small block of rooms for conference participants at the discounted rate of $189 per night, book before the cutoff date September 18, 2025 in order to receive this special rate. Click here to reserve a room.
Guest Editors
Dr Veljko Dubljevic, NC State University, United States of America, veljko_dubljevic@ncsu.edu
Dr George List, NC State University, United States of America, gflist@ncsu.edu
Dr. William A. Bauer, NC State University, United States of America, wabauer@ncsu.edu
Dr. Munindar P. Singh, NC State University, United States of America, mpsingh@ncsu.edu
The expansion of artificial intelligence (AI) and autonomous systems has shown great potential to generate enormous social good while also raising serious ethical and safety concerns. It is therefore important to apply interdisciplinary research methods and tools to comprehensively analyze the social and ethical implications of AI embodied in autonomous vehicles (AVs).
Importantly, AVs will take actions that directly affect human life and societal well-being. Thus, it is imperative to analyze ethical concerns related to AVs to identify at-risk populations, inform policy, and generate hypotheses for future empirical ethics research on AI. Identifying norms and accounting for multiple ethical issues related to AVs will increase public confidence that the diverse values of a pluralistic society can be successfully implemented.
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Stay tuned for further announcements, such as schedule, venue and parking details!