Policy Brief: Location Data Under Existing Privacy Laws
The Future of Privacy Forum released a new policy brief, Location Data Under Existing Privacy Laws. Defining and regulating location data in a privacy law can be an elusive challenge. In […]
FPF and Privacy Analytics Identify “A Practical Path Toward Genetic Privacy”
Paper highlights de-identification standards, re-identification research, and emerging technical, contractual, and policy protections that can safeguard genetic data while supporting research. Genomic data is arguably the most personal of all […]
The Future of Privacy Technology
Today, FPF is making available a report co-authored by CEO Jules Polonetsky and Policy Fellow Jeremy Greenberg that identifies future directions and requirements of privacy technology from the industry perspective. […]
Privacy 2020: 10 Privacy Risks and 10 Privacy Enhancing Technologies to Watch in the Next Decade
Today, FPF is publishing a white paper co-authored by CEO Jules Polonetsky and hackylawyER Founder Elizabeth Renieris to help corporate officers, nonprofit leaders, and policymakers better understand privacy risks that will […]
A Privacy Playbook for Connected Car Data
Drivers and passengers expect cars to be safe, comfortable, and trustworthy. Individuals often consider the details of their travels—and the vehicles that take them between their home, the office, a […]
New White Paper Provides Guidance on Embedding Data Protection Principles in Machine Learning
Immuta and the Future of Privacy Forum (FPF) today released a working white paper, Data Protection by Process: How to Operationalise Data Protection by Design for Machine Learning, that provides guidance […]
Comparing Privacy Laws: GDPR v. CCPA
In November 2018, OneTrust DataGuidance and FPF partnered to publish a guide to the key differences between the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act of […]
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.
FPF Report: IoT Devices Should Deal with Privacy Impacts for People with Disabilities
FPF has released The Internet of Things (IoT) and People with Disabilities: Exploring the Benefits, Challenges, and Privacy Tensions. This paper explores the nuances of privacy considerations for people with […]
Full house at IAPP Brussels interested in Deciphering Legitimate Interests. Download our LI Report here!
The session that the Future of Privacy Forum organized for the IAPP Europe Congress in Brussels on November 28, Deciphering “legitimate interests”: actual enforcement cases and tested solutions, generated great interest among privacy professionals. We had a full house attending – more than 500 participants, according to the IAPP. The panel was based on a Report published earlier this year by the FPF and Nymity.