Privacy Roundup from Summer Developer Conference Season 2024
Ahh, summer. A time for hot dogs, swimming pools, and software developer conferences. For third-party application developers to deliver new tools with the best features for the lucrative fall quarter, they must have access to all the APIs and tools by the summer before. This has meant that early summer has become known as a […]
FPF Highlights Intersection of AI, Privacy, and Civil Rights in Response to California’s Proposed Employment Regulations
On July 18, the Future of Privacy Forum submitted comments to the California Civil Rights Council (Council) in response to their proposed modifications to the state Fair Employment and Housing Act (FEHA) regarding automated-decision systems (ADS). As one of the first state agencies in the U.S. to advance modernized employment regulations to account for automated-decision […]
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 […]
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, […]
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 […]
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 […]