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[…] labels. This prohibition applies broadly across public and private sectors and concerns only natural persons or groups of natural persons, excluding thus legal entities.  The Guidelines differentiate between “evaluation” and “classification” as two distinct but related concepts within the scope of Article 5(1)(c) AI Act. “Evaluation” refers to an assessment or judgment about a […]

[…] as litigation progresses. However, with an unclear litigation timeline, several newly effective legal obligations, and significant enforcement provisions carrying personal liability for employees, compliance teams may be stuck between two high-stakes options: (1) a risk of insufficient action and consequential liability if entities are slower to come into compliance while monitoring litigation outcomes; or, (2) […]

[…] litigation progresses. However, with an unclear litigation timeline, several newly effective legal obligations, and significant enforcement provisions carrying personal liability for employees, compliance teams may be stuck between two high-stakes options: (1) a risk of insufficient action and consequential liability if entities are slower to come into compliance while monitoring litigation outcomes; or, (2) […]

[…] topics! Data Privacy Day is a reminder that privacy is a shared responsibility. By bringing together FPF’s expertise in privacy research and policy with Snap’s commitment to building products with privacy and safety in mind, this collaboration aims to help people better understand how AI works and how to use it thoughtfully. snap lens 2026

[…] AI training. However, this convergence is largely superficial, as guidelines rarely resolve deeper procedural and substantive ambiguities, and enforcement interventions often default to minimal safeguards. This disconnect between regulatory rhetoric and practical compliance leaves significant gaps in protection and operational clarity for data controllers, raising questions about the reliability and legitimacy of the existing […]

[…] authors will present their work in a two-part webinar series, with the first session on March 4 focused on AI and the second session on March 11 focused on Privacy. March 4th – AI Paper Presentations – Registration Closed! March 11th – Privacy Paper Presentations – Registration Closed! Attendees must register for each session separately.

[…] [email protected] for more information. 2 FPF SPONSORSHIP PROSPECTUS 2026 Sponsor recognition (event website, communications, & signage) Complimentary event registration 32 Sponsor acknowledgement by FPF leadership during event  Promotional item at sponsorship table* Giveaway item at designated event time* – Opportunity to give short remarks at designated event time – AUDIENCE: 300+ FPF Members, VIP […]

[…] drinks, and a vibrant atmosphere as we toast to another exciting year in privacy and data protection. We kindly request that you RSVP by Tuesday, March 23. Space is limited, and registration is required due to high demand. Attendance is by invitation only and is non-transferable. If you have any questions, please contact the FPF Event Team at [email protected]. 

[…] collaboration with Ohio State University, Baylor University, Northeastern University, and Rutgers University.  Check out some other highlights of FPF’s AI work this year: Defined the key distinction between two trends emerging in hyperpersonalizing conversational AI technologies through a four-part blog series and accompanying issue brief discussing “personalization” and “personality.” Produced a comprehensive brief breaking […]

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