In the News

|

The US, China, and the Risks of Cutting Global Data Flows

Peter Swire published an op-ed for the French newspaper Le Monde that discusses the Court of Justice for the European Union’s decision as to whether U.S. surveillance practices violate the fundamental rights of EU citizens under GDPR. Swire argues that if the U.S is deemed to be in violation, thereby causing transatlantic data flows to be […]

|

John Verdi Featured in WTOP Story About Connected Consumer Tech

Vice President of Policy John Verdi was featured in a WTOP story about the privacy implications of popular consumer tech holiday gifts. He offered advice on adjusting the privacy settings of smartphones, tablets, connected toys, and other devices. Read more at WTOP.

|

Amelia Vance’s Letter to the Editor in the New York Times

FPF Education Director and Policy Counsel Amelia Vance wrote a letter in response to a New York Times story on student privacy laws published earlier this week. She argued that the best way to address concerns over student privacy is to enforce and fully fund the implementation of existing laws, not add even more laws […]

|

Jules Polonetsky interviewed on C-SPAN’s Washington Journal

FPF CEO Jules Polonetsky was interviewed on C-SPAN’s Washington Journal Friday. He discussed the need for federal privacy legislation, internet companies’ data collection practices and the Federal Trade Commission’s authority to stop deceptive practices, among other topics. Watch the appearance here.

|

John Verdi Appears on Comcast Newsmakers

FPF’s Vice President of Policy, John Verdi, joined Sheila Hyland on Comcast Newsmakers to talk about the importance of data privacy laws, including new legislation in California, which aim to empower consumers.

|

Immuta and the Future of Privacy Forum Release First-Ever Risk Management Framework for AI and Machine Learning  

College Park, MD – June 26, 2018 – Immuta and the Future of Privacy Forum (FPF) today announced the first-ever framework for practitioners to manage risk in artificial intelligence (AI) and machine learning (ML) models. Their joint whitepaper, Beyond Explainability: A Practical Guide to Managing Risk in Machine Learning Models, provides business executives, data scientists, and compliance professionals with a strategic guide for governing the legal, privacy, and ethical risks associated with this technology.