FPF Submits Comments to the FEC on the Use of Artificial Intelligence in Campaign Ads
On October 16, 2023, the Future of Privacy Forum submitted comments to the Federal Election Commission (FEC) on the use of artificial intelligence in campaign ads. The FEC is seeking comments in response to a petition that asked the Agency to initiate a rulemaking to clarify that its regulation on “fraudulent misrepresentation” applies to deliberately deceptive […]
FPF Testifies on Automated Decision System Legislation in California
Last week, on April 8, 2021, FPF’s Dr. Sara Jordan testified before the California House Committee on Privacy and Consumer Protection on AB-13 (Public contracts: automated decision systems). The legislation passed out of committee (9 Ayes, 0 Noes) and was re-referred to the Committee on Appropriations. The bill would regulate state procurement, use, and development […]
FPF Letter to NY State Legislature
On Friday, June 14, FPF submitted a letter to the New York State Assembly and Senate supporting a well-crafted moratorium on facial recognition systems for security uses in public schools.
City of Seattle Open Data Risk Assessment Report
FPF requested feedback from the public on its proposed Draft Open Data Risk Assessment for the City of Seattle. In 2016, the City of Seattle declared in its Open Data Policy that the city’s data would be “open by preference,” except when doing so may affect individual privacy. To ensure its Open Data program effectively protects individuals, Seattle committed to performing an annual risk assessment and tasked FPF with creating and deploying an initial privacy risk assessment methodology for open data.
FPF Comments on the FTC Informational Injury Workshop
On Friday, October 27, 2017, the Future of Privacy Forum filed comments with the Federal Trade Commission in advance of the December 12, 2017 Informational Injury Workshop. The purpose of the workshop is to examine consumer injury in the context of privacy and data security. FPF’s comments focus on describing the harms that can arise from automated decision-making as well as highlighting existing risk-based privacy analyses.