Protecting political choice begins with protecting the people who make it.
Election debates about AI often focus on fabricated videos and false statements. A deeper question concerns the personal data behind political communication: what can be learned about individuals, how that knowledge is used, and whether people retain meaningful control over their choices.
Professor Cynthia Dwork, Gordon McKay Professor of Computer Science at Harvard, has given these questions a scientific foundation through her pioneering contributions to differential privacy and fairness in computation. On November 10, the Boston Global Forum will honor her with the World Leader in AIWS 2026 Award at Loeb House, Harvard University. Governor Michael Dukakis and Nguyen Anh Tuan will present the award. Later that morning, she joins the conference panel on the AIWS Trust Observatory.
Differential privacy provides a mathematical framework for limiting how much an analysis reveals about any individual’s participation in a dataset. It enables useful learning about groups while placing formal constraints on the additional privacy risk to individuals. Those protections depend on how systems are designed and implemented, including the privacy parameters chosen.
For democratic societies, the significance extends beyond a technical achievement. Citizens need room to form beliefs, explore ideas, and participate in public life without every action becoming an unrestricted source of personal inference. Privacy is one of the conditions that support independent judgment.
Dwork’s work on fairness in computation also helps frame a question that becomes especially consequential in political life: how should systems treat people, and what evidence is needed to assess whether that treatment is fair? Such questions require explicit choices, careful analysis, and public accountability.
Her deepest contribution is to bring scientific rigor to protections too often expressed only as promises. For BGF–AIWS, that rigor is central to AIWS Trust Infrastructure: clear requirements, inspectable evidence, and responsibility that can be traced.
As Beacon Papers No. 18 argues, citizens must have a fair chance to recognize fabricated evidence before acting on it. Alongside timely correction, the democratic future also requires safeguards for the data and computational systems that shape the information people receive.
Honoring Cynthia Dwork recognizes the importance of building those safeguards on foundations that can be examined, challenged, and improved. In the AI age, trust must be supported by science—and science must serve human dignity.
