Comments Submitted to the FCC on Disclosure and Transparency of AI-Generated Content in Political Advertisements
The Future of Privacy Forum (FPF) submitted comments in response to the Federal Communications Commission’s (FCC, or Commission) Notice of Proposed Rulemaking (NPRM) on the use of artificial intelligence (AI) to generate content for political advertisements.
Consumer Health Data Privacy Notices by the Numbers
Today, FPF is releasing an infographic that provides insights into how organizations are responding to the transparency requirements of recently enacted U.S. state health privacy laws. The infographic reflects a survey of privacy notices on the websites of 180+ companies across a variety of industries and sectors, from pharmaceutical to apparel.
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 […]
Key Dates for State Privacy Laws
A significant new chapter for data privacy protections in the United States has commenced as more than a dozen recently enacted significant state privacy laws are scheduled to take effect by October 1, 2024. To assist stakeholders in tracking the emerging state privacy landscape, the Future of Privacy Forum has prepared a resource listing key […]
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, […]
FPF Submits Comments in Response to the United States Department of Transportation’s (DOT) Request for Information on Opportunities and Challenges of AI 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) Transportation. In DOT’s work to examine the potential for AI, FPF urges DOT to:
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 […]
FPF Files Comments on the Nigeria Data Protection Commission’s (NDPC) proposed General Application and Implementation Directive (GAID)
On June 29, the Future of Privacy Forum (FPF) filed comments with the Nigeria Data Protection Commission (NDPC) on the proposed General Application and Implementation Directive (GAID). Read our comments in full.
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: