Artificial Intelligence

At the University of Virginia, AI research is advancing rapidly across schools and disciplines. This collection of recent news stories highlights how UVA researchers are using AI to generate new knowledge, inform policy and practice, and address complex challenges across fields.

Find out how UVA is making AI both great and good.

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Medicine

The Crucial Responsibilities Doctors Must Never Offshore to AI

Two physicians from UVA and Harvard argue that while AI increasingly matches or surpasses doctors at diagnosis, human clinicians must retain accountability for treatment decisions. Writing in Annals of Internal Medicine, Parsons and Rodman contend that weighing individual patient circumstances, accepting risk, and owning outcomes are responsibilities AI cannot assume, however accurate it becomes.

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Artificial Intelligence

Chen’s NSF CAREER Award Supports UVA Engineering Artificial Intelligence Research to Better Forecast Infectious Disease Epidemics

UVA computer scientist Chen Chen has earned a five-year, $600,000 NSF CAREER Award to build next-generation AI tools for epidemic intelligence. Combining case reports, wastewater data and mobility patterns, her research aims to improve disease forecasting, guide public health interventions, strengthen surveillance strategies, and eventually help communities understand local infection risks.

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Artificial Intelligence

Can Flock Cameras Ever Be Trusted? An Ethical Hacker Weighs In

UVA cybersecurity expert Daniel Graham examines the privacy risks of Flock license plate readers, explaining how connected camera networks enable warrantless mass surveillance. He compares safeguards used for cell-site data under Carpenter v. United States, discusses real misuse cases, and outlines what technical fixes and policy changes could make these systems trustworthy.

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Engineering

Four UVA Engineering Faculty Earn NSF Career Awards

Four University of Virginia School of Engineering faculty have received prestigious NSF CAREER Awards for research tackling major societal challenges through AI. Jason Bates, Chen Chen, Yu Meng, and Tianhao Wang are exploring nitrate conversion, disease forecasting, learning from imperfect data, and privacy-protecting synthetic datasets, respectively, each backed by roughly five-year, $600,000-plus grants.

Artificial Intelligence

CNN Business Article Spotlights UVA Research on China’s Layered AI Strategy

CNN Business reporter David Goldman examined U.S.-China AI competition, drawing on research from UVA’s National Security Data and Policy Institute on China’s layered AI strategy. Dr. Phil Potter, NSDPI director, suggested both nations share concerns about uncontrolled AI and may benefit from cooperative frameworks that restrain private AI development while treating it as a national security priority.

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Artificial Intelligence

Anton Korinek on why we should take AI seriously

Video

Anton Korinek, professor of economics at UVA’s College and Graduate School of Arts and Sciences and Darden School of Business, discusses the economic implications of artificial intelligence in this video featured in the 2026 Annual Research Report, produced by the Office of the Vice President of Research, explaining why AI deserves serious attention.