Future of Privacy Forum’s Amelia Vance warns of ‘unintended consequences’ that could harm students.
In the News
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 […]
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.
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 […]
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.
FPF Policy Counsel Lauren Smith runs our Connected Car Project. Today, she appeared on CBS This Morning to talk connected cars.
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.
The Best Practices provide a policy framework for the collection, protection, sharing, and use of Genetic Data generated by consumer genetic testing services. These services are commonly offered to consumers for testing and interpretation related to ancestry, health, nutrition, wellness, genetic relatedness, lifestyle, and other purposes.
Beyond Explainability aims to provide a template for effectively managing this risk in practice, with the goal of providing lawyers, compliance personnel, data scientists, and engineers a framework to safely create, deploy, and maintain ML, and to enable effective communication between these distinct organizational perspectives.
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.