Dr. Tal Zarsky is a Senior Lecturer at the University of Haifa - Faculty of Law. His research focuses on Information Privacy, Internet Policy, Telecommunications Law and Online Commerce, Reputation and Trust. He also teaches and studies Contract and Property law. He has written and presented his work on these issues in a variety of forums, both in Israel and worldwide. In addition, he has advised various Israeli regulators and legislators on related issues. Dr. Zarsky is also a Fellow at the Information Society Project, at Yale Law School. In 2010-2011 He was a Global Hauser Fellow, at NYU Law School. He completed his doctorate dissertation, which focused on Data Mining in the Internet Society, at Columbia University - School of Law. Dr. Zarsky also participated, as an affiliate with the Centre for Law in the Information Society in Leiden University, in the "Data Mining without Discrimination" project, funded by the Dutch Research Council (NWO). Among others, his current research and recent publications examine the implications and legality of advanced data mining practices, and their impact on antidiscrimination policy.
- "Discrimination and Privacy in the Information Society: Data Mining and Profiling in Large Databases", (Bart Custers, Toon Calders, Bart Schermer and Tal Zarsky eds.), Springer (2012)
- "Automated Prediction: Perception, Law and Policy", 15(9) Communication of the ACM 33 (2012)
- "Governmental Data Mining and its Alternatives", 116(2) Penn. St. Law Review, 285 (2012)
- "Assessing Alternative Models Compensating for Content Consumption", 84 Denver U. Law Review (2007)
- "E-Contract Doctrine 2.0: Standard Form Contracting in the Age of Online User Participation"with Shmuel Becher, 14(2) Michigan Telecommunications and Technology Law Review 303 (2008)
- "Law and Online Social Networks: Mapping the Challenges and Promises of User-Generated Information Flows", 18(3) Fordham Intellectual Property, Media & Entertainment Law Journal 741 (2008)
- "Mine Your Own Business! Making the Case for the Implications of the Data Mining of Personal Information in the Forum of Public Opinion", 5 Yale Journal of Law and Technology (2002-2003)