An AI-based computer system can gather data and use that data to make decisions or solve problems – using algorithms to perform tasks that, if done by a human, would be said to require intelligence. The benefits created by AI and machine learning (ML) systems for better health care, safer transportation, and greater efficiencies across the globe are already happening. But the increased amounts of data and computing power that enable sophisticated AI and ML models raise questions about the privacy impacts, ethical consequences, fairness, and real world harms if the systems are not designed and managed responsibly. FPF works with commercial, academic, and civil society supporters and partners to develop best practices for managing risk in AI and ML and assess whether historical data protection practices such as fairness, accountability, and transparency are sufficient to answer the ethical questions they raise.
China’s Interim Measures for the Management of Generative AI Services: A Comparison Between the Final and Draft Versions of the Text
Authors: Yirong Sun and Jingxian Zeng Edited by Josh Lee Kok Thong (FPF) and Sakshi Shivhare (FPF) The following is a guest post to the FPF blog by Yirong Sun, research fellow at the New York University School of Law Guarini Institute for Global Legal Studies at NYU School of Law: Global Law & Tech […]
FPF Submits Comments to the Office of Management and Budget on AI and Privacy Impact Assessments
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 […]
FPF Statement on Vice President Harris’ announcement on the OMB Policy to Advance Governance, Innovation, and Risk Management in Federal Agencies’ Use of Artificial Intelligence
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 […]
FPF Statement on the adoption of the EU AI Act
“Today the European Union adopted the EU AI Act at the end of a long and intense legislative process. At the Future of Privacy Forum we believe that multistakeholder global approaches and advancing common understanding in the area of AI governance are key to ensuring a future with safe and trustworthy AI, one that protects […]
Future of Privacy Forum Awarded National Science Foundation and Department of Energy Grants to Advance White House Executive Order on Artificial Intelligence
The Future of Privacy Forum (FPF) has been awarded grants by the National Science Foundation (NSF) and the Department of Energy (DOE) 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 socially beneficial data sharing […]
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. […]
FPF Announces International Technology Policy Expert as New Head of Artificial Intelligence
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 […]
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, […]
A Blueprint for the Future: White House and States Issue Guidelines on AI and Generative AI
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 […]
FPF and OneTrust Release Collaboration on Conformity Assessments under the proposed EU AI Act: A Step-by-Step Guide & Infographic
Today, the Future of Privacy Forum (FPF) and OneTrust released a collaboration on Conformity Assessments under the proposed EU AI Act: A Step-by-Step Guide and accompanying Infographic. Conformity Assessments are a key and overarching accountability tool introduced in the proposed EU Artificial Intelligence Act (EU AIA or AIA) for high-risk AI systems. Conformity Assessments are […]