New White Paper Explores Privacy and Security Risk to Machine Learning Systems
FPF and Immuta Examine Approaches That Can Limit Informational or Behavioral Harms WASHINGTON, D.C. – September 20, 2019 – The Future of Privacy Forum (FPF) released a white paper, WARNING SIGNS: The Future of Privacy and Security in an Age of Machine Learning, exploring how machine learning systems can be exposed to new privacy and […]
Warning Signs: Identifying Privacy and Security Risks to Machine Learning Systems
FPF is working with Immuta and others to explain the steps machine learning creators can take to limit the risk that data could be compromised or a system manipulated.
Digital Deep Fakes
The media has recently labeled manipulated videos of people “deepfakes,” a portmanteau of “deep learning” and “fake,” on the assumption that AI-based software is behind them all. But the technology behind video manipulation is not all based on deep learning (or any form of AI), and what are lumped together as deepfakes actually differ depending on the particular technology used. So while the example videos above were all doctored in some way, they were not all altered using the same technological tools, and the risks they pose – particularly as to being identifiable as fake – may vary.
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What We're Reading: Europe
June 2019 A round-up of the most important developments in the EU Data Protection world Enforcement The Italian DPA levied a 2.000.000€ (IT) fine against a telemarketing company and its call-center operations conducted by a de facto “sub-contractor” in Albania for creating contact lists, calling people and sharing their telephone numbers with a third party (their client) […]
Ethical and Privacy Protective Academic Research and Corporate Data
Is edtech helping or hindering student education? What effect does social media have on elections? What types of user interfaces help users manage privacy settings? Can the data collected by wearables inform health care? In almost every area of science, academic researchers are seeking access to personal data held by companies to advance their work. […]
NAI’s 2020 Code of Conduct Expands Self-Regulation for Ad Tech Providers
By Christy Harris, Stacey Gray, and Meredith Richards As debates over the shape of federal privacy legislation in the United States continue, online advertising remains a key focus of scrutiny in the US Congress, with its recent hearing on digital advertising and data privacy. Amidst these debates, the Networking Advertising Initiative (NAI), the leading self-regulatory body […]
Protected: Protected: Future of Privacy Forum's 2019 Annual Meeting
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Privacy Book Club
Join the Privacy Book Club mailing list to learn about upcoming opportunities to read books with FPF staff and attend live streams discussing the books and interviewing authors. Head to the FPF Youtube Channel to see all past episodes! Book Discussion 1: Privacy’s Blueprint: The Battle to Control the Design of New Technologies by Professor Woodrow Hartzog Watch […]