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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
[…] housing market, or in groceries and restaurants? These elements generally correspond to the different terms used in legislation to refer to data-driven pricing practices. For example, a number of bills use terms such as “algorithmic pricing,” including New York S 3008, an enacted law requiring a disclosure when “personalized algorithmic pricing” is used to […]
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
[…] most sensitive of personal data to the newly-conceived legal category of “neural data.” Each of these laws defines “neural data” in related but distinct ways, raising a number of important questions: just how broad should this new data type be? How can lawmakers draw clear boundaries for a data type that, in theory, could […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] oversight purposes. The supervising body typically has some discretion as to how to implement its sandbox, such as the focus (technology or sector-specific), the vetting process, the number of accepted applicants, and evaluation metrics for success. Application and selection: As part of the vetting process, participating organizations must explain to the regulatory body why […]
Privacy Enhancing Technologies Workshop Proceedings
[…] privacy . Financial firms are required and incentivized to engage in a range of anti-fraud programs. Firms often seek to determine whether a particular International Bank Account Number (IBAN) involved in a cross-border transaction is at high risk for fraud. Traditionally , this process involves cooperation between financial institutions that can raise compliance questions […]
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
[…] whether they participate in a data-driven pricing strategy that incorporates their personal data. Discrimination: Data-driven pricing inherently involves different customers paying different amounts for similar products or services. Even the common practice of sending certain customers coupons means that other customers will be paying relatively more. When this price differential becomes a problem is […]
Key Dates for State Privacy Laws
[…] new chapter for data privacy protections in the United States has commenced as more than twenty recently enacted significant state privacy laws have taken effect by July 1, 2025. To assist stakeholders in tracking the emerging state privacy landscape, the Future of Privacy Forum has prepared a resource listing key dates for state privacy […]