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[…] 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.

M ain ta in e d by: Keir La m ont, Baile y San ch e z & Jo rd an Fra n cis E ff ectiv e Date s fo r Bro ad Sta te Priv a cy La w s As of Ju ly 10 , 20 25 N ote : La w […]

[…] narrowly on specific types of health data individually or in tandem with AI or other technologies. For example, mental health chatbots (Utah HB452), reproductive health data ( Virginia SB754), or AI disclosures in clinical settings (California AB3030). Other bills and laws have broad definitions that include location, movement, and voice data, all common types […]

[…] classical information storage and retrieval systems, and examines the legal implications that arise from this. Thereafter, it attempts to demystify the phenomenon of memorisation, to gain a better understanding of why partial regurgitation occurs. This blog post concludes with some suggestions on how LLMs can be used in AI systems for fluency, while highlighting […]

[…] are arguably more expansive, as they do not provide an exception (as does the GDPR) for breaches unlikely to result in a risk to the rights and freedoms of natural persons. 2.7. The amendments replace the PDPA’s restrictive former whitelisting data transfers approach with a more flexible cross-border data transfer regime Prior to the […]