In the News

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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.

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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.

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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.

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John Verdi Talks Connected Devices with Fox 2 St. Louis

“What data is being transmitted and what data is being used really depends on the device,” Verdi said. “They can offload that information from the device to servers on the internet that are either controlled by the companies or third parties and there’s some processing that can happen there.”

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New Study: Companies are Increasingly Making Data Accessible to Academic Researchers, but Opportunities Exist for Greater Collaboration

Washington, DC – Today, the Future of Privacy Forum released a new study, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers. In this report, FPF reveals findings from research and interviews with experts in the academic and industry communities. Three main areas are discussed: 1) The extent to which leading companies make data available to support published research that contributes to public knowledge; 2) Why and how companies share data for academic research; and 3) The risks companies perceive to be associated with such sharing, as well as their strategies for mitigating those risks.