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[…] located on FPF website »Official recognition of sponsor during the Luncheon by FPF »Opportunity to make short remarks during the Luncheon (2 minutes) »Opportunity to provide (1) promotional item and (1) giveaway via QR code. Must be approved in advance by FPF Sponsorship Team O u r inaugural DC Privacy Forum was such a […]

[…] earlier automated systems and even LLMs, these systems go beyond previous technology by having autonomy over how to achieve complex, multi-step tasks, such as navigating on a user’s web browser to take actions on their behalf. This could enable a wide range of useful or time-saving tasks, from making restaurant reservations and resolving customer […]

[…] r ho w to ach ie ve co m ple x, mult i- s te p ta sk s, su ch as navig atin g on a use r’s web b ro w se r to ta ke actio ns on th e ir behalf . This co uld enab le a wid e […]

[…] Like the “illegal” category, some examples here may be differently classified depending on the legal regime. LOSS OF OPPORTUNITY Employment Discrimination Differential Access to Job Opportunities E.g. Use of a hiring tool that automatically excludes job candidates based on birth year E.g. Filtering candidates by work proximity leads to excluding people of color Insurance […]

[…] evolving regulatory requirements. Learn more about the FPF Center for AI at fpf.org/ai . 1 Overview of 2025 Update Automated analysis of personal data, including through the use of artificial intelligence and machine learning tools, can be used to improve services, advance research, and combat discrimination. However, automated decision-making can also lead to potential […]

FPF has updated our 2017 resource (“Distilling the Harms of Automated Decision-making”) with the goal of identifying and categorizing a broad range of potential harms that may result from automated decision-making, including heightened harms related to generative AI (GenAI), and potential mitigation practices. FPF reviewed leading books, articles, and other literature on the topic of […]

[…] Like the “illegal” category, some examples here may be differently classified depending on the legal regime. LOSS OF OPPORTUNITY Employment Discrimination Differential Access to Job Opportunities E.g. Use of a hiring tool that automatically excludes job candidates based on birth year E.g. Filtering candidates by work proximity leads to excluding people of color Insurance […]

[…] evolving regulatory requirements. Learn more about the FPF Center for AI at fpf.org/ai . 1 Overview of 2025 Update Automated analysis of personal data, including through the use of artificial intelligence and machine learning tools, can be used to improve services, advance research, and combat discrimination. However, automated decision-making can also lead to potential […]

With the close of Utah’s short legislative session, the Beehive State is once again an early mover in U.S. tech policy. In March, Governor Cox signed several bills related to the governance of generative Artificial Intelligence systems into law. Among them, SB 332 and SB 226 amend Utah’s 2024 Artificial Intelligence Policy Act (AIPA) while HB 452 establishes new regulations for […]

FPF released an infographic and readiness checklist to help schools better understand and prepare for the risks posed by deepfakes. Deepfakes are realistic, synthetic media, including images, videos, audio, and text, created using a type of Artificial Intelligence (AI) called deep learning. By manipulating existing media, deepfakes can make it appear as though someone […]