AI & Machine Learning

On April 29, the Future of Privacy Forum submitted comments to the Office of Management and Budget (OMB) in response to the agency’s Request for Information (RFI) regarding responsible procurement of artificial intelligence (AI) in government, particularly regarding the intersection of AI tools and systems procurement with other risks posed by the development and use […]

On April 1, 2024, the Future of Privacy Forum filed comments to the Office of Management and Budget (OMB) in response to the agency’s Request for Information on how privacy impact assessments (PIAs) may mitigate privacy risks exacerbated by AI and other advances in technology. The OMB issued the RFI pursuant to the White House’s […]

Following the groundbreaking White House Executive Order on AI last fall, which outlined ambitious goals to promote the safe, secure, and trustworthy use and development of AI systems, Vice President Harris has today announced the publication by the Office of Management and Budget of a binding memorandum on “Advancing Governance, Innovation, and Risk Management for […]

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 […]

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. […]

FPF has appointed international technology policy expert Anne J. Flanagan as Vice President for Artificial Intelligence (AI). In this new role, Anne will lead the privacy organization’s portfolio of projects exploring the data flows driving algorithmic and AI products and services, their opportunities and risks, and the ethical and responsible development of this technology. Anne […]

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 […]

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, […]

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, […]

Since July 2023, eight U.S. states (California, Kansas, New Jersey, Oklahoma, Oregon, Pennsylvania, Virginia, and Wisconsin) and the White House have published executive orders (EOs) to support the responsible and ethical use of artificial intelligence (AI) systems, including generative AI. In response to the evolving AI landscape, these directives signal a growing recognition of the […]