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AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
The widespread adoption of artificial intelligence (AI) continues to impact societies and economies around the world. Policymakers worldwide have begun pushing for normative frameworks to regulate the design, deployment, and use of AI according to their specific ethical and legal standards. In Latin America, some countries have joined these efforts by introducing legislative proposals and […]
“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
[…] your needs.” “Gemini gets personal, with tailored help from your Google apps,” Mar. 13, 2025, Google “. . . Gemini Advanced subscribers will soon be able to create Gems — customized versions of Gemini. You can create any Gem you dream up: a gym buddy, sous chef, coding partner or creative writing guide. They’re […]
AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
[…] the system’s purpose, intended use, field of application, algorithmic structure, and implemented security safeguards. Similarly, Colombia’s bill includes an obligation to conduct fundamental rights impact assessments and create a national registry for high-risk AI systems. Fewer proposals have specific, targeted provisions for “limited-risk” systems. For instance, Colombia’s bill defines these systems as those that, […]
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Comparative Table – AI Bills in Latin American Countries
[…] to human review of decisions. ✅ -Excessive risk (akin to unacceptable risk) -High Risk ✅ Preliminary assessment for risk classification & algorithmic impact assessments for high-risk systems Creates the National Artificial Intelligence Regulation and Governance System (SIA), under ANPD’s coordination ✅ Yes – regulatory sandboxes; financing and differentiated obligations for SMEs; and support for […]
Highlights from FPF’s July 2025 Technologist Roundtable: AI Unlearning and Technical Guardrails
On July 17, 2025, the Future of Privacy Forum (FPF) hosted the second in a series of Technologist Roundtables with the goal of convening an open dialogue on complex technical questions that impact law and policy, and assisting global data protection and privacy policymakers in understanding the relevant technical basics of large language models (LLMs). […]
Highlights from FPF’s July 2025 Technologist Roundtable: AI Unlearning and Technical Guardrails
On July 17, 2025, the Future of Privacy Forum (FPF) hosted the second in a series of Technologist Roundtables with the goal of convening an open dialogue on complex technical questions that impact law and policy, and assisting global data protection and privacy policymakers in understanding the relevant technical basics of large language models (LLMs). […]
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A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
“Algorithmic pricing,” “surveillance pricing,” “dynamic pricing”: in states across the U.S., lawmakers are introducing legislation to regulate a range of 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 […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] state privacy laws, signify growing lawmaker interest in regulating what’s being considered a distinct, particularly sensitive kind of data: information about people’s thoughts, feelings, and mental activity. Created in response to the burgeoning neurotechnology industry, neural data laws in the U.S. seek to extend existing protections for the most sensitive of personal data to the […]