Two Princeton Faculty Appointed to Global AI Panel
Princeton University professors Adji Bousso Dieng and Aleksandra Korolova have been appointed to the United Nations’ new Independent International Scientific Panel on Artificial Intelligence. This panel, established in August 2025, marks the first global scientific body solely focused on the study and governance of artificial intelligence (AI).
Comprising 40 distinguished experts from around the world, the panel will assess the evolving landscape of AI, including its promises, challenges, and implications on society. Over the next three years, members will periodically convene to produce comprehensive reports aimed at informing global policy decisions.
Global Impact Through Scientific Leadership
According to a statement from the United Nations, the panel is designed to act as a “crucial bridge between cutting-edge AI research and policymaking.” Its mission includes providing objective, scientific evaluations to help guide international strategies and decisions about AI’s development and regulation.
The panel is expected to present an annual report at the United Nations Global Dialogue on AI Governance, offering insights into emerging technologies and shaping discourse on their global governance.
Distinguished Appointments Recognized
Professors Dieng and Korolova were selected from a pool of over 2,600 applicants worldwide. Their nominations were made by U.N. Secretary-General António Guterres and officially confirmed by the U.N. General Assembly on February 12, 2026.
Adji Bousso Dieng is an assistant professor in Princeton’s Department of Computer Science. She specializes in the intersection of AI and the natural sciences, leading the Vertaix Lab, which developed the Vendi Score—a tool for measuring diversity in datasets and AI outputs. This innovation is pivotal for building reliable machine learning models and has been applied in research to identify emerging variants of viral diseases like COVID-19 before official detection.
Dieng joined Princeton in 2021 after working as a research scientist at Google DeepMind. Her academic background includes a Diplôme d’Ingénieur from Télécom Paris, a master’s degree from Cornell University, and a Ph.D. from Columbia University. She is affiliated with several interdisciplinary initiatives at Princeton, including the Princeton Materials Institute, Princeton Precision Health, and the High Meadows Environmental Institute.
Championing Fair and Private AI
Aleksandra Korolova, also an assistant professor of computer science and public affairs at Princeton, focuses on the societal implications of AI. Her work emphasizes developing AI systems that prioritize privacy, fairness, and robustness. She is known for conducting algorithm audits and deploying technologies that support equitable data-driven innovation.
Korolova joined Princeton’s faculty in 2022 and holds a joint appointment in the School of Public and International Affairs. Before Princeton, she served as a professor at the University of Southern California, a research scientist at Google, and a privacy adviser at Snap, Inc.
Her notable accolades include a Presidential Early Career Award for Scientists and Engineers, a Sloan Research Fellowship, and an NSF CAREER Award. Korolova’s work on RAPPOR, a pioneering deployment of differential privacy, earned the 2024 CCS Test-of-Time Award. Her investigations into bias in ad delivery won the 2025 FAccT Best Paper Award and earlier recognition for contributions to diversity and inclusion.
She holds a bachelor’s degree from MIT and earned her Ph.D. from Stanford University.
Advancing AI for Global Good
The appointments of Dieng and Korolova reflect Princeton’s deep commitment to driving forward ethical and innovative research in artificial intelligence. Their inclusion in the U.N. panel highlights the university’s influential role in shaping the global conversation around AI governance and responsible technology.
As the world grapples with the rapid advancement of AI, the expertise of these scholars will contribute to a more informed and balanced approach to managing its societal effects. Their diverse research backgrounds ensure that both the technical and human dimensions of AI are considered in global policymaking.
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