Showing results for virg xped promo code new user 2024 austria 2024 user 2024 austria 2024 2024 2024

“Personality vs. Personalization” in AI Systems: An Introduction (Part 1)
[…] more intelligent features,” May 14, 2024, Google Meta “You can tell Meta AI to remember certain things about you (like that you love to travel and learn new language), and it can also pick up important details based on context. For example, let’s say you’re hungry for breakfast and ask Meta AI for some […]

AI Regulation in Latin America: Overview and Emerging Trends in Key Proposals
[…] the OECD’s AI Principles, focused on transparency, security, and responsibility of AI systems, and to UNESCO’s AI Ethics Recommendation, which emphasizes the need for a human-centered approach, promoting social justice and environmental sustainability in AI systems. All bills reviewed ground the development of AI in privacy or data protection as a guiding principle to […]

Comparative Table – AI Bills in Latin American Countries
Comparative Table: AI Bills in Latin American Countries Country Guiding Principles AI-Related Rights Risk-Based Approach Risk Assessments AI Authority Promotion of Innovation Argentina 5 ✅ 5 guiding principles, including human collaboration and oversight ❌ None explicitly covered ✅ -Minimal or No Risk -Limited Risk -High-Risk -Unacceptable AI ✅ ‘Pre-market impact assessment’ after registration in […]

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). […]

Event Report – FPF July 2025 Roundtable
[…] is ca n b e fo und in th e N YT v. OpenA I la w su it o ve r ChatG PT’s outp ut of New Yo rk Tim es artic le s, an d in r e se arc h fr o m G oog le Deep M in d , […]

A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] bills contain such exemptions—legislation might still inadvertently capture other accepted practices such as specials aligned with seasonal changes, bulk purchase discounts, deals on goods nearing expiration, or promotions to clear inventory. Lawmakers must also consider how any new definitions interact with definitions in existing law. For example, an early version of California AB 446, […]

2025 FPF Privacy Groups
PRIVACY GROUPS FPF Privacy Groups bring industry leaders together with FPF staff and experts to develop best practices, share insights, and promote pragmatic public policy solutions. Privacy Group members receive regular written updates on developments in their field. FPF members can access these privacy groups via the FPF Portal communities. For those without a […]

The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] 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 newly-conceived legal category of “neural data.”

The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] 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 apply to anything that reveals an individual’s mental activity? […]