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[…] and less prescriptive than what is required under the CCPA. Adopts Narrow Outlier Provisions: The bill selects particular narrow approaches used by only a handful of states: Virginia’s narrow biometric data definition (which broadly exempts photos, videos, and audio without limiting language), the pseudonymous data exception for consumer opt-out rights (Tennessee, Iowa, Florida, Alabama […]

[…] not new, but they have gained significant traction recently due to the increase in school-issued devices and the pandemic accelerated shift to remote learning. How do schools use these systems to monitor students, what data is collected, and how is student data used? Let’s take a look: SCHOOL APPS & ACCOUNTS SCHOOL-ISSUED DEVICES Any […]

[…] valuable consideration” prong is potentially narrower than other laws that do not explicitly limit sales to exchanges where the data-recipient is “not restricted” in how they subsequently use the data. Depending on how specific a “restriction” on subsequent use must be, this could bring a number of data sharing agreements outside of the scope […]

[…] AI–AI systems capable of autonomous task completion—and a continuous newscycle of new LLM models released with improved reasoning and problem-solving capabilities. There was also excitement about AI’s use in scientific discovery: accelerating medical diagnoses, neuroscience, and quantum computing. Amid the innovation, new questions have been raised in existing global policy discussions around privacy, data […]

As governments around the world strengthen protections for children online, Brazil’s “Digital ECA” (Estatuto Digital da Criança e do Adolescente) represents a major step forward in regulating digital environments for young people. In this recorded discussion, FPF Policy Counsel for Global Privacy Maria Badillo and FPF Policy Counsel for U.S. Legislation Daniel Hales, moderated by […]

As Africa’s digital economy continues to grow, countries across the continent are actively updating their data protection frameworks to keep pace with emerging technologies such as artificial intelligence and broader digital transformation. This recorded discussion is based on a recent and relevant analysis by the Future of Privacy Forum (FPF) examining data protection reforms across […]

[…] learn how to assess both customer-facing AI products and internal AI tools before launch; Identify the questions that matter most before launch: examine how product function, data use, outputs, claims, and context shape legal, privacy, and compliance review; and Recognize when a product may require closer scrutiny:  explore when additional testing, documentation, controls, or […]

[…] Management Framework (AI RMF).  Read the full report: The Price is Right: Responsible Uses of Personal Data in Pricing Recommendations include: Map and track the collection and use of all data that informs consumer pricing over time, including data sources and provenance.  Rigorously test all relevant datasets and pricing algorithms for bias. Establish clear […]

[…] based on framework s like National Institute of Standards and Technology (NIST)’s AI Risk Management Framework (AI RMF). Recommendations include: › Map and track the collection and use of all data that informs consumer p ricing over time, including data sources and provenance. › Rigorously test all relevant datasets and pricing algorithms for bias. […]

[…] law. You can find the whole series here. Introduction The eighth blog in the “Red lines under the EU AI Act” series examines the general prohibition on the use of real-time biometric (RBI) systems in publicly accessible spaces for law enforcement purposes imposed by Article 5(1)(h) of the EU AI Act, the three narrow exceptions […]