KIRSTEN MARTIN (CV) is the William P. and Hazel B. White Professor of Technology Ethics and is Professor of IT, Analytics, and Operations in the Mendoza College of Business at the University of Notre Dame. She was also the Director of the Notre Dame Technology Ethics Center (ND-TEC) from 2021-2023.
She researches privacy, technology ethics, and corporate responsibility. She has written about privacy and the ethics of technology in leading academic journals across disciplines (Journal of Business Ethics, BEQ, Harvard Journal of Law and Technology, Journal of Legal Studies, Washington University Law Review, Journal of Business Research, etc) as well as practitioner publications such as MISQ Executive. She is the Technology and Business Ethics editor for the Journal of Business Ethics and the recipient of three NSF grants for her work on privacy, technology, and ethics. Dr. Martin is also an affiliate of Northeastern University’s Center for Law, Innovation and Creativity and a member of the advisory board for the Future Privacy Forum.
She is regularly asked to speak on privacy and the ethics of big data, including her Tedx talk. In addition to academic invited talks, Dr. Martin has had invited talks or been an expert witness for government agencies such as the Federal Trade Commission (FTC); Government Accountability Office (GAO); U.S. Treasury Department; U.S. Census Bureau; National Academies of Sciences, Engineering, and Medicine; National Academy of Engineering; National Academy of Education; German Federal Ministry for the Environment and Consumer Protection; U.S. Deptartment of Justice.
She earned her B.S. Industrial and Operations Engineering from the University of Michigan and her MBA and Ph.D from the University of Virginia’s Darden Graduate School of Business
CURRENT PROJECTS
- No Cookies For You! Evaluating the Promises of Big Tech’s ‘Privacy-Enhancing’ Techniques. and Appendix. (w/ H. Nissenbaum and V. Shmatikov).
- Platforms, Privacy, and the Honeypot Problem.
- Predatory Predictions and The Ethics of Predictive Analytics.
RECENT EVENTS