Latanya Sweeney is the Daniel Paul Professor of the Practice of Government and Technology at the Harvard Kennedy School and in the Harvard Faculty of Arts and Sciences, Editor-in-Chief of Technology Science, director and founder of the Data Privacy Lab, former Chief Technology Officer at the U.S. Federal Trade Commission and Distinguished Career Professor of Computer Science, Technology and Policy at Carnegie Mellon University, Latanya Sweeney has 3 patents, more than 100 academic publications, pioneered the field known as data privacy, launched the emerging area known as algorithmic fairness, and her work is explicitly cited in two U.S. regulations, including the U.S. federal medical privacy regulation (known as HIPAA). She is a recipient of the prestigious Louis D. Brandeis Privacy Award, the American Psychiatric Association’s Privacy Advocacy Award, an elected fellow of the American College of Medical Informatics, and has testified before government bodies worldwide. She earned her PhD in computer science from MIT in 2001, being the first black woman to do so, and her undergraduate degree in computer science from Harvard University. Dr. Sweeney creates and uses technology to assess and solve societal, political and governance problems, and teaches others how to do the same.

Featured programmes and seminars

  • Harvard Course in Law and Economics

    Start date: 02/10/2023

    The aim of this programme is to provide an up-to-date overview of some of the relevant issues in the field of economic analysis of law.

  • Online course Competition in markets

    Start date: Open

    Introduction to the essential elements shaping competition policy and discussion of the principles and instruments of competition policy.

  • Online course Liberalism, a philosophy in danger

    Start date: Open

    Why are so many obstacles confronting liberalism, so implacable the enemies it has to contend with, and so soft the allies it can hardly count on?

  • Ethics of Artificial Intelligence. Carissa Veliz

    Start date: Coming soon

    This course will help us understand the "digital reality" we live in. A practical and constructive approach, offering possible solutions to the ethical challenges generated by AI.