FPF Presents Expert Analysis to Washington State Lawmakers as Multiple States Weigh COVID-19 Privacy and Contact Tracing Legislation
In response to the ongoing public health emergency, over the past few months state legislatures in the United States have diverted their resources towards establishing state and local reopening plans, allocating federal aid, and promoting public trust and public participation by addressing concerns over privacy and civil liberties. Many states have introduced bills which […]
Best Practices
Future of Privacy Forum’s Best Practices page is a central repository for privacy-related guidance documents, reports, codes of conduct, and other resources that can help you navigate complex issues and implement initiatives in privacy-protective ways.
Christy Harris Discusses Trends in Ad Tech
We’re talking to FPF senior policy experts about their work on important privacy issues. Today, Christy Harris, CIPP/US, Director of Technology and Privacy Research, is sharing her perspective on ad tech and privacy. Prior to joining the FPF team, Christy spent almost 20 years at AOL, where she helped navigate novel consumer privacy issues in […]
Rob van Eijk
California SB 980 Would Codify Many of FPF’s Best Practices for Consumer Genetic Testing Services, but Key Differences Remain
Authors: John Verdi (Vice President of Policy) and Katelyn Ringrose (Christopher Wolf Diversity Law Fellow) In July 2018, the Future of Privacy Forum released Privacy Best Practices for Consumer Genetic Testing Services. FPF developed the Best Practices following consultation with technical experts, regulators, leading consumer genetic and personal genomic testing companies, and civil society. The […]
John Verdi
iOS Privacy Advances
Law and legislation take the lead in setting standards for protecting personal data, but the policies and norms established by companies also play a central role. This has been the case particularly for global platforms providing the services used by billions in the course of daily life. Apple’s 2020 Worldwide Developer Conference (WWDC) previewed a […]
FPF Webinar Explores the Future of Privacy-Preserving Machine Learning
On June 8, FPF hosted a webinar, Privacy Preserving Machine Learning: New Research on Data and Model Privacy. Co-hosted by the FPF Artificial Intelligence Working Group and the Applied Privacy Research Coordination Network, an NSF project run by FPF, the webinar explored how machine learning models as well as data fed into machine learning models […]
Privacy Scholarship Research Reporter: Issue 5, July 2020 – Preserving Privacy in Machine Learning: New Research on Data and Model Privacy
Notes from FPF In this edition of the “Privacy Scholarship Reporter”, we build on the general knowledge from the first two and then explore some of the technical research being conducted to achieve ethical and privacy goals. “Is it possible to preserve privacy in the age of AI?”, is a provocative question asked by academic […]