Trust but Verify … as Long as You Can: Transparency, Consent Management and Their Limits in a Big Data-Machine Learning Environment

Authors

Pablo Iannello, University of Dayton

Document Type

Article

Comments

Pablo Iannello is an adjunct professor at the University of Dayton School of Law, Director of the Program of Law and Technology at UDSL, Researcher at UADE and Professor of Intellectual Property Law and New Technologies at UADE.

Recommended Citation

Iannello, Pablo (2025) "Trust but Verify … as Long as You Can: Transparency, Consent Management and Their Limits in a Big Data-Machine Learning Environment," University of Dayton Law Review: Vol. 50: No. 3, Article 1.
Available at: https://ecommons.udayton.edu/udlr/vol50/iss3/1

Publication Date

5-15-2025