FPF Awarded DOE and NSF Grants to Advance Privacy Enhancing Technologies & AI
The Future of Privacy Forum (FPF) has been awarded grants by the Department of Energy (DOE) and the National Science Foundation (NSF) to support FPF’s establishment of a Research Coordination Network (RCN) for Privacy-Preserving Data and Analytics. FPF’s work will support the development and deployment of Privacy Enhancing Technologies (PETs) for beneficial data sharing and […]
Colorado’s Approval of Global Privacy Control: Implications for Advertisers and Publishers
The privacy laws of both Colorado and California require organizations to recognize Universal Opt-Out Mechanisms (UOOMs), a tool through which a person can invoke their opt out rights broadly across all the websites they visit. While California has required responding to certain UOOMs since July 2021, the Colorado Attorney General has only recently approved their […]
FPF Joins the NIST Artificial Intelligence Safety Consortium
The Future of Privacy Forum (FPF) is collaborating with the National Institute of Standards and Technology (NIST) in the U.S. Artificial Intelligence Safety Institute Consortium to develop science-based and empirically backed guidelines and standards for AI measurement and policy, laying the foundation for AI safety across the world. This initiative will help prepare the U.S. […]
The Garden State Joins the Comprehensive Privacy Grove
On January 16, 2024, Governor Murphy signed S332 into law, making New Jersey the thirteenth U.S. State to adopt a comprehensive privacy law to govern the collection, use, and transfer of personal data. S332 endured a long and circuitous route to enactment, having been introduced in January 2022 and amended six times before being passed […]
Kwang Bae Park
Identifying Privacy Risks and Implementing Best Practices for Body-Related Data in Immersive Technologies
As organizations develop more immersive technologies, and rely on the collection, use, and transferring of body-related data, they need to ensure their data practices not only maintain legal compliance, but also more fulsomely protect people’s privacy. To guide organizations as they develop their body-related data practices, the Future of Privacy Forum created the Risk Framework […]
Explaining the Crosswalk Between Singapore’s AI Verify Testing Framework and The U.S. NIST AI Risk Management Framework
On October 13, 2023, Singapore’s Infocomm Media Development Authority (IMDA) and the U.S.’s National Institute of Standards and Technology (NIST) published a “Crosswalk” of IMDA’s AI Verify testing framework and NIST’s AI Risk Management Framework (AI RMF). Developed under the aegis of the Singapore–U.S. Partnership for Growth and Innovation, the Crosswalk is a mapping document […]
Rachel Wares
Regu(AI)ting Health: Lessons for Navigating the Complex Code of AI and Healthcare Regulations
Authors: Stephanie Wong, Amber Ezzell, & Felicity Slater As an increasing number of organizations utilize artificial intelligence (“AI”) in their patient-facing services, health organizations are seizing the opportunity to take advantage of the new wave of AI-powered tools. Policymakers, from United States (“U.S.”) government agencies to the White House, have taken heed of this trend, […]