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[…] heightened risk of harm to a consumer. C.R.S. § 6-1-1309(1). Where a type of processing is likely to result in a high risk to the rights and freedoms of natural persons. Art. 35(1). DPAs are required where processing activities pose some heightened risk of harm. A key difference between these regulations is whether that […]

[…] Senior Director of U.S. Legislation, Future of Privacy Forum AUTHORS Thanks to Bridget Egan for her research contributions. ACKNOWLEDGEMENTS All FPF materials that are released publicly are free to share and adapt with appropriate attribution. Learn more . 3 Table 1. Legislative Outcomes for State AI Bills Overview of the 210 industry-focused AI bills […]

[…] Senior Director of U.S. Legislation, Future of Privacy Forum AUTHORS Thanks to Bridget Egan for her research contributions. ACKNOWLEDGEMENTS All FPF materials that are released publicly are free to share and adapt with appropriate attribution. Learn more . The Future of Privacy Forum’s (FPF) report, The State of State AI: Legislative Approaches to AI […]

[…] including subscription-based and enterprise pricing models. As personalized AI systems increasingly replace, or are integrated into, online search, they will impact online content that has largely been free and ad-supported since the early Internet. However, it is not clear that personalized AI systems can, or should, adopt compensation strategies that follow the same historical […]

[…] celebrities—control over the commercial use over certain aspects of their identity (e.g., name and likeness). The majority of US states recognize this right in either their statutory codes or in common law, but the right’s duration, protected elements of a person’s identity, and other requirements can vary by state. For example, the US Courts […]

This post is the second in a multi-part series on personality versus personalization in AI systems, providing an overview of these concepts and their use cases, concrete risks, legal considerations, and potential risk management for each category. The previous post provided an introduction to personality versus personalization.  In AI governance and public policy, the many […]

Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

[…] of their risk classification. For AI systems in general, Brazil’s proposal includes:  The right to prior information about an interaction with an AI system, in an accessible, free of charge, and understandable format.  The right to privacy and the protection of personal data, following the Lei Geral de Proteção de Dados Pessoais (LGPD) and […]

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[…] I S SU E BRIE F: U .S . PO LIC Y ○ Queries persist for a maximum of 2 minutes before dissolving (the key point and bonus feature of this process/tech is that it is not permanent), which aligns with the spirit of data localization requirements. How do you weigh the benefit of […]