State AI Legislation: Key Bills & Trends
Hundreds of state AI bills have been introduced, but which are the ones to follow? How do the leading bills differ and what are the key areas of debate? How are state legislators thinking about U.S. AI leadership and how do they want to advance both benefits and safeguards? What role does FPF’s Multistate AI […]
Report Exploring Organizations’ Emerging Practices and Challenges Assessing AI Risks
With growing focus from policymakers and regulators on the impact of artificial intelligence (AI) systems, and as organizations strive to responsibly use AI systems, organizations are increasingly embracing AI impact assessments to assess risks and take steps to minimize them. In response to the growing use—and uncertainty around—AI impact assessments, the Future of Privacy Forum […]
The Multistate AI Policymaker Working Group
The Multistate AI Policymaker Working Group (MAP-WG) is a bipartisan assembly of over 200 state lawmakers from more than 45 states, brought together by the Future of Privacy Forum. The Group’s primary aim is to foster a shared understanding of emerging technologies and related policy issues. FPF convenes and provides an administrative platform for the […]
Comment Submitted To The FCC On AI Call Detecting, Alerting, And Blocking Technologies
The Future of Privacy Forum (FPF) submitted comments in response to the Federal Communications Commission’s (FCC, or Commission) Notice of Inquiry (NOI) on technologies that can alert consumers that they may be interacting with an AI-generated call based on real-time phone call content analysis.
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.
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, […]
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 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: