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As of halfway through 2025, four U.S. states have enacted laws regarding “neural data” or “neurotechnology data.” These laws, all of which amend existing 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 […]

[…] data: the movement of a computer mouse or use of a smartwatch may technically constitute, under certain definitions, neural data. As such, there is a significant difference between laws that cover both CNS and PNS data, and those that only cover CNS data. Connecticut SB 1295 is the lone current law that applies solely […]

[…] The future of the digital economy will be shaped by the trajectory of cross-border data transfers: There is a tension, both in the APAC region and globally, between the rise of restrictive data transfer requirements, and the fact that data transfers are essential for the digital economy and the development of high-quality AI systems.  […]

[…] has a defined testing time period, which could be as short as three months or as long as two years. During that period, there is regular engagement between the regulator and sandbox participants, although the cadence and scope depends on the sandbox and the supervisory body. Post-sandbox reporting: At the end of the sandbox […]

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[…] d IB AN s in ad ve rte n tly div u lg e a (n o n-p ubli c ) r e la tio nsh ip betw een th e cu sto m er and th e bank, th at would lik e ly co nstit u te a dis clo su re […]

[…] prominence to certain results, based on general consumer data or specific customer behavioral data. This could potentially include changing the prominence of given products based on their price. This resource distinguishes between these different pricing strategies in order to help lawmakers, businesses, and consumers better understand how these different practices work. View the resource here

[…] different from one another, create different benefits for consumers and companies, and carry different risks. Distinguishing and disaggregating these pricing strategies will help policymakers, businesses, and consumers better understand how the relevant technologies and practices work, and better analyze the relevant benefits and risks. The chart below describes the major different data-driven pricing approaches. […]

[…] state privacy landscape, the Future of Privacy Forum has prepared a resource listing key dates for state privacy laws. This chart serves as your one-stop shop for critical information, such as when enforcement begins, when cure periods expire, and deadlines for controllers to begin recognizing opt-out preference signals. The 2024 version can be found here.