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“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
[…] and responds directly.” “Release Notes – System Prompts – Claude Opus 4,” May 22, 2025, Anthropic Google “[P]ersonalization allows Gemini to connect with your Google apps and services, starting with Search, to provide responses that are uniquely insightful and directly address your needs.” “Gemini gets personal, with tailored help from your Google apps,” Mar. […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
[…] least ten criteria2 for the classification of high-risk systems, such as whether the system unlawfully or abusively produces legal effects that impair access to public or essential services, whether it lacks transparency, explainability, auditability which would impair oversight, or whether it endangers human health –physical, mental or social, either individually or collectively. Meanwhile, the […]
A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] practices that use large amounts of data and algorithms to routinely inform decisions about the prices and products offered to consumers. These bills—targeting what this analysis collectively calls “data-driven pricing”—follow the Federal Trade Commission (FTC)’s 2024 announcement that it was conducting a 6(b) investigation to study how firms are engaging in so-called “surveillance pricing,” […]
2025 FPF Privacy Groups
[…] details on how to access your new account. If you have any questions or issues accessing your Portal profile, please email [email protected] . Ad Practices – Monthly call on the first Thursday of the month at 12pm ET ● 600+ privacy leaders interested in learning about new and existing ad technologies. ● Shares news, […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
1970-01-01 01/01/1970 January 1, 70
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] “entities” defined narrowly—as in the original GIPA—as: …a partnership, corporation, association, or public or private organization of any character that: (a) offers consumer genetic testing products or services directly to a consumer; or (b) collects, uses, or analyzes genetic data. While the lawmakers may not have intended to limit its application to consumer genetic […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
[…] FPF’s Privacy Leaders Luncheon, July 8, 2025. 5.2 On July 10, FPF co-hosted an India Roundtable Luncheon with Khaitan & Co. FPF APAC also collaborated with an Indian law firm, Khaitan & Co, to co-host a lunch roundtable focusing on pressing challenges in India, such as the development of implementing rules for the Digital […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] forward-looking AI regulations. 1. Key Characteristics of a Regulatory Sandbox A regulatory sandbox is an adaptable framework that can allow organizations to test out innovative new products, services, or business models with reduced regulatory requirements. Typically supervised by a regulatory body, these “testbeds” encourage experimentation and innovation in a real-world setting while managing potential […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
1970-01-01 01/01/1970 January 1, 70
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] under the umbrella of data-driven pricing, following the release in early 2025 of the Federal Trade Commission’s preliminary insights of a 6(b) study of what the Commission called “surveillance pricing.” Using a variety of terms—including “surveillance,” “algorithmic,” and “dynamic” pricing—legislators are targeting a range of data-driven pricing practices that often look different from one […]