FPF Responds to the Federal Election Commission Decision on the use of AI in Political Campaign Advertising
The Federal Election Commission’s (FEC) abandoned rulemaking presented an opportunity to better protect the integrity of elections and campaigns, as well as to preserve and increase public trust in the growing use of AI by candidates and in campaigns. When generative AI is used carefully and responsibly, it can reach different segments of the population […]
FPF Submits Comments to the California Civil Rights Council on Proposed Modifications to the Employment Regulations Regarding Automated-Decision Systems
FPF is pleased to submit comments to the California Civil Rights Council regarding their Proposed Modifications to the Employment Regulations Regarding Automated-Decision Systems. By modernizing the state’s current employment regulations, the California Civil Rights Council has an important opportunity to influence how existing civil rights laws will apply to emerging technologies like AI. Ideally, these […]
Contextualizing the Kids Online Safety and Privacy Act: A Deep Dive into the Federal Kids Bill
Co-authored by Nick Alereza, FPF Policy Intern and student Boston University School of Law. With contributions from Jordan Francis. On July 30, 2024, the U.S. Senate passed the Kids Online Safety and Privacy Act (KOSPA) by a vote of 91-3. KOSPA is a legislative package that includes two bills that gained significant traction in the […]
EU AI Act: A Comprehensive Implementation & Compliance Timeline
The EU AI Act is expected to play a crucial role in global development of AI Governance frameworks. We are continually updating a timeline and a list of FPF Resources dedicated to the EU AI Act, as well as to its relationship to the EU GDPR and other privacy and data protection law.
Video-Based Vehicle Safety Systems: Lessons Learned from Commercial Fleets
Recent years have seen an increasing deployment of onboard video-based safety systems in vehicles. While video technologies have been seen already in passenger vehicles, these systems have been even more prominent in the commercial fleet industry (e.g., trucking, delivery, and rental vehicles). Fleet operators have substantial regulatory, financial, and other incentives to implement safety programs, […]
Repository for Privacy Enhancing Technologies (PETs)
FPF has long supported the use of technologies as well as research to help better understand what data protection and privacy opportunities and challenges they present. When used appropriately, privacy-enhancing technologies can mitigate individuals’ privacy risks while promoting fairness and enabling socially beneficial data use. Broad adoption of these technologies is only possible if they […]
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. Industry experts, policymakers, civil society, and academics met to discuss the possibilities afforded by Privacy Enhancing Technologies (PETs), the inherent regulatory challenges, and how PETs interact with rapidly developing AI systems. FPF experts […]
Confidential Computing And Privacy: Policy Implications of Trusted Execution Environments
Confidential computing leverages two key technologies: trusted execution environments and attestation services. The technology allows organizations to restrict access to personal information, intellectual property, or sensitive or high-risk data through a secure hardware-based enclave or “trusted execution environment” (TEE). Economic sectors that have led the way in adopting confidential computing include financial services, healthcare, and […]