
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.

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
There is no excerpt because this is a protected post.

AI and Machine Learning: Perspectives with FPF’s Brenda Leong
As we prepare to toast our 10th anniversary, we’re hearing from FPF policy experts about important privacy issues. Today, Brenda Leong, FPF Senior Counsel and Director of Strategy, is sharing her perspective on AI and machine learning. Brenda also manages the FPF portfolio on biometrics, particularly facial recognition, and oversees strategic planning for the organization.Tell […]

FPF's Amelia Vance on the Future of Student Privacy
Amelia Vance, Policy Counsel and Director of the FPF Education Privacy Project, is one of the foremost experts in the nation on education privacy. She has a knack for making complex regulations and technical trends accessible to individuals who are not lawyers or computer scientists, but who care deeply about student privacy – school administrators, […]

Privacy Features of iOS 12 and MacOS Mojave
With much media attention focused on new Apple hardware, including new iPhones, Apple also released updated versions of its mobile and desktop operating systems for public download this week. The software upgrades (iOS 12 for iPhones, and macOS 10.14 Mojave for desktop Macs) bring many new features, such as Group FaceTime, options to customize notifications, and aesthetic changes such as an optional desktop “Dark Mode.

FPF Testifies Before Federal Commission on School Safety
John Verdi, the Future of Privacy Forum’s Vice President of Policy, testified today before the Federal Commission on Student Safety meeting, “Curating a Healthier & Safer Approach: Issues of Mental Health and Counseling for Our Young.”