NEW FPF REPORT: Confidential Computing and Privacy: Policy Implications of Trusted Execution Environments
Written by Judy Wang, FPF Communications Intern Today, the Future of Privacy Forum (FPF) published a paper on confidential computing, a privacy-enhancing technology (PET) that marks a significant shift in the trustworthiness and verifiability of data processing for the use cases it supports, including training and use of AI models. Confidential computing leverages two key […]
FPF Confidential Computing R3
J U LY 2 0 2 4 CONFIDENTIAL COMPUTING AND PRIVACY Policy Implications of Trusted Execution Environments The Future of Privacy Forum (FPF) is a non-profit organization that serves as a catalyst for privacy leadership and scholarship, advancing principled data practices in support of emerging technologies. Learn more about FPF by visiting fpf.org. Samuel Adams […]
A First for AI: A Close Look at The Colorado AI Act
Colorado made history on May 17, 2024 when Governor Polis signed into law the Colorado Artificial Intelligence Act (“CAIA”), the first law in the United States to comprehensively regulate the development and deployment of high-risk artificial intelligence (“AI”) systems. The law will come into effect on February 1, 2026, preceding the March, 2026 effective date […]
FPF Launches Effort to Advance Privacy-Enhancing Technologies, Convenes Experts, and Meets With White House
FPF’s Research Coordination Network will support developing and deploying Privacy-Enhancing Technologies (PETs) for socially beneficial data sharing and analytics. JULY 9, 2024 — Today, the Future of Privacy Forum (FPF) is launching the Privacy-Enhancing Technologies (PETs) Research Coordination Network (RCN) with a virtual convening of diverse experts alongside a high-level, in-person workshop with key stakeholders […]
FPF Submits Comments in Response to the United States Department of Transportation’s (DOT), Request for Information on Opportunities and Challenges of AI in Transportation
FPF submitted comments in response to the United States Department of Transportation’s (DOT) Request for Information on Opportunities and Challenges of Artificial Intelligence (AI) in Transportation. In DOT’s work to examine the potential for AI, FPF urges DOT to:
Chevron Decision Will Impact Privacy and AI Regulations
The Supreme Court has issued a 6-3 decision in two long-awaited cases – Loper Bright Enterprises v. Raimondo and Relentless, Inc. v. Department of Commerce – overturning the legal doctrine of “Chevron deference.” While the decision will impact a wide range of federal rules, it is particularly salient for ongoing privacy, data protection, and artificial […]
AI Forward: FPF’s Annual DC Privacy Forum Explores Intersection of Privacy and AI
The Future of Privacy Forum (FPF) hosted its inaugural DC Privacy Forum: AI Forward on Wednesday, June 5th. Industry experts, policymakers, civil society, and academics explored the intersection of data, privacy, and AI. In Washington, DC’s southwest Waterfront at the InterContinental, participants joined in person for a full-day program consisting of keynote panels, AI talks, […]
Protected: Protected: FPF Training Program 2024 – Main
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FPF Training Program 2025 – Private Training
FPF private trainings Live Virtual Trainings for OrganizationsChoose the Format that Fits You and Your Team PRIVATE TRAININGS Looking for a more personalized training experience for your team? FPF offers Private Training sessions for organizations on a variety of privacy topics, using our expert instructors to engage with your team. By opting for private training […]
The World’s First Binding Treaty on Artificial Intelligence, Human Rights, Democracy, and the Rule of Law: Regulation of AI in Broad Strokes
The Council of Europe’s (CoE) Framework Convention on Artificial Intelligence and Human Rights, Democracy, and the Rule of Law (Framework Convention on AI) was adopted on 17 May 2024, after two years of drafting and negotiation. This is the world’s first binding treaty on AI, focusing on protecting human rights, democracy and the rule of […]