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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 […]

[…] 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 […]

[…] and human oversight, for organizations seeking to develop or deploy AI agents in commercial settings.  Specifically, this Issue Brief explores:  Part 1: Definitions. While agents are not new, emerging definitions across industries describe them as AI systems that are capable of completing more complex, multi-step tasks, and exhibit greater autonomy over how to achieve […]

[…] ft – 3 6 5-c o pilo t.p d f ; Kash m ir Hill, “S he Is in Lo ve W it h ChatG PT,” The New Yo rk Tim es (J a n . 17 , 20 25 ), h ttp s:/ /w ww.n ytim es.c o m /2 0 25 /0 […]

[…] Raising online prices based on membership in a protected classE.g. Presenting product discounts based on “ethnic affinity” Narrowing of Choice E.g. Algorithms that prevent users from discovering new products outside their established patterns Narrowing of Choice for Groups SOCIAL DETRIMENT Network Bubbles E.g. Varied exposure to opportunity or evaluation based on “who you know” […]

[…] legal or illegal, fair or unfair, or morally or ethically responsible. As artificial intelligence has evolved — including the rapid development and application of generative AI — new and emerging risks present complex questions regarding how to mitigate and manage such challenges. There are few easy ways to navigate these issues; however, if developers […]

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 […]

[…] Raising online prices based on membership in a protected classE.g. Presenting product discounts based on “ethnic affinity” Narrowing of Choice E.g. Algorithms that prevent users from discovering new products outside their established patterns Narrowing of Choice for Groups SOCIAL DETRIMENT Network Bubbles E.g. Varied exposure to opportunity or evaluation based on “who you know” […]

[…] legal or illegal, fair or unfair, or morally or ethically responsible. As artificial intelligence has evolved — including the rapid development and application of generative AI — new and emerging risks present complex questions regarding how to mitigate and manage such challenges. There are few easy ways to navigate these issues; however, if developers […]

[…] 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 mental health chatbots. The Future of Privacy Forum has released a chart detailing key elements of these new laws.