FPF Training Program 2024 – Master the Digital Landscape (Topic Page)
MASTER THE DIGITAL LANDSCAPE: STRATEGIES FOR ADVANCED ONLINE ADVERTISING FPF is pleased to offer the advanced training in our AdTech Learning Module: Fundamentals of Online Advertising to you and your team. In this advanced course, we dive into key issues surrounding Digital Advertising as it impacts the world of privacy practitioners and their key stakeholders. […]
FPF Training Program 2024 – U.S. Privacy Landscape (Topic Page)
U.S. Privacy Landscape FPF is pleased to offer the training topic: U.S. Privacy Landscape to you and your team. Commercial privacy in the United States can be a complicated maze of state and federal laws and agency enforcement. Weave in international data flows, such as EU-U.S. cross-border data transfer rules it can be hard to […]
FPF Training Program 2024 – Beyond the Basics of Online Advertising (Topic Page)
beyond the basics of online advertising FPF is pleased to offer the mid-level course in our AdTech Learning Module: Beyond the Basics of Online Advertising to you and your team. Going beyond the Fundamentals of Online Advertising, in the Future of Privacy Forum’s training on Beyond the Basics of Online Advertising, participants will go in […]
Connecting Experts to Make Privacy-Enhancing Tech and AI Work for Everyone
The Future of Privacy Forum (FPF) launched its Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics on Tuesday, July 9th. The RCN supports the Biden-Harris Administration’s commitments to privacy, equity, and safety articulated in the administration’s Executive Order on Artificial Intelligence (AI). Industry experts, policymakers, civil society, and academics met to discuss the […]
Reflections on California’s Age-Appropriate Design Code in Advance of Oral Arguments
Co-authored with Isaiah Hinton, Policy Intern for the Youth and Education Team Update: On Wednesday, July 17th, the U.S. 9th Circuit Court of Appeals heard oral arguments for an appeal of the District Court’s preliminary injunction of the California Age-Appropriate Design Code Act (AADC). Judges Milan Smith Jr., Mark Bennett, and Anthony Johnstone appeared interested […]
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 […]
Research Coordination Network for Privacy-Preserving Data Sharing and Analytics Focused on Artificial Intelligence
With the support of grants from the National Science Foundation and the Department of Energy, FPF is building a Research Coordination Network (RCN) for Privacy-Preserving Data Sharing and Analytics starting in July 2024 and running through June 2027. The RCN will advance the Biden-Harris Executive Order on Artificial Intelligence by analyzing and promoting the trustworthy […]
FPF Launches Effort to Advance Privacy-Enhancing Technologies in Support of AI Executive Order, 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 […]
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 […]