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[…] ey poin ts ● The lack of clear regulatory guidance forces organizations to rely on best practices, trust, and adherence to local laws between/across jurisdictions; ● No one PET or technology can address every risk or threat; in many cases, multiple PET s and privacy protections are beneficial and can help reduce risk; ● […]

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[…] udget is fu lly sp ent, any fu rth er acce ss would be blo cke d until addit io nal budg et is assig n ed. One a dva nta ge of th is budgetin g appro ach is th at it giv e s re se arc h ers fle xib ilit […]

[…] se re tu rn ed to th e qu ery in g entit y . More dir e ctly , a query orig in atin g in one co untr y ca n get re sp onse s ab out th e ris k of a giv e n IB AN fr o m […]

[…] la w s— or fo cu se d on gove rn m ent use . T e xa s HB 14 9 (T R A IG A), one of th e more exp an siv e AI- r e la te d la w s enacte d in 20 25 , re fle cts […]

[…] prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices that often look different from one another, and carry different benefits and risks. Generally speaking, these practices fall under one of four categories: Reward or loyalty program: A company offers a discount, […]

[…] Commission called “surveillance pricing.” Using a variety of terms—including “surveillance,” “algorithmic,” and “dynamic” pricing—legislators are targeting a range of data-driven pricing practices that often look 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 […]

[…] tracking the emerging 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 […]

[…] 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 […]

[…] i n t h e r e g io n ( A ustr a lia , C hin a, I n d ia , I n d one sia , H ong K o ng S A R, J a p an , M aca u S A R, M ala ysia , N […]