Jordan Awan writes: Machine learning has pushed the boundaries in several fields, including personalized medicine, self-driving cars and customized advertisements. Research has shown, however, that these systems memorize aspects of the data they were trained with in order to learn patterns, which raises concerns for privacy. In statistics and machine learning, the goal is to learn from past data…
Category: Misc
Message to the Congress on Preventing Access to Americans’ Bulk Sensitive Personal Data and United States Government-Related Data by Countries of Concern
TO THE CONGRESS OF THE UNITED STATES: Pursuant to the International Emergency Economic Powers Act (50 U.S.C. 1701 et seq.) (IEEPA), the National Emergencies Act (50 U.S.C. 1601 et seq.), and section 301 of title 3, United States Code, I hereby report that I have issued an Executive Order that expands the scope of the national emergency…
The Department of Health and Human Services’ Office of Intergovernmental and External Affairs (IEA) will be hosting a stakeholder webinar TODAY, February 9, 2024, from 2 – 3 PM ET to provide an update on patient privacy.
The Department of Health and Human Services’ Office of Intergovernmental and External Affairs (IEA) will be hosting a stakeholder webinar February 9, 2024, from 2 – 3 PM ET to provide an update on patient privacy. Today, the U.S. Department of Health and Human Services, through its Office for Civil Rights (OCR) and the Substance Abuse and…
Article: Kafka in the Age of AI and the Futility of Privacy as Control
Professor Dan Solove writes: I’m excited to share with you a draft of my forthcoming essay with Professor Woodrow Hartzog (BU Law), Kafka in the Age of AI and the Futility of Privacy as Control, 104 B.U. L. Rev. (forthcoming 2024). It’s a quick read at just 20 pages! You can download the article for free on SSRN.