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[…] Maste rc a rd P ro ble m : L ik e oth er in te rn atio nal fin ancia l se rv ic e s org aniz a tio ns th at man age cro ss-b ord er tr a n sa ctio ns, M aste rc a rd must ofte n […]

[…] each community. Click on Directory in the header menu bar to search for your peers within the FPF Portal. Note: The Directory search results will only show those who have opted into the directory by signing into the FPF Portal. If you have any questions or need assistance navigating the Portal, please email membership@fpf.org .

This Preview highlights key findings from FPF’s forthcoming report “2025 U.S. State AI Legislation: An Examination of State Approaches to AI,” which provides a data-driven snapshot of enacted and key AI bills affecting the private sector, organizes activity into distinct approaches, and helps stakeholders understand emerging trends and obligations. As AI technologies rapidly integrate […]

[…] n sn ap sh o t of enacte d an d ke y AI bills a ff ectin g th e priv a te se cto r, org an iz e s activ it y in to dis tin ct ap pro ach e s, an d he lp s sta ke ho ld […]

[…] Generally speaking, these practices fall under one of four categories: Reward or loyalty program: A company offers a discount, reward, or other incentive to repeat customers who sign up for the program. In return, the company receives additional customer data. Dynamic pricing: Rapidly changing the price of a particular product or service based on […]

[…] the major different data-driven pricing approaches. Pricing strategy Description Example Reward or loyalty program A company offers a discount, reward, or other incentive to repeat customers who sign up for the program. In return, the company receives additional customer data. Discount programs that provide  program members with lower prices on groceries as compared with […]

A significant new chapter for data privacy protections in the United States has commenced as more than twenty recently enacted significant state privacy laws have taken effect by July 1, 2025. To assist stakeholders in tracking the emerging state privacy landscape, the Future of Privacy Forum has prepared a resource listing key dates for […]

[…] fo r Bro ad Sta te Priv a cy La w s As of Ju ly 10 , 20 25 N ote : La w s are org an iz e d ch ro no lo g ic a lly by eff ectiv e date s, no t by sta te (h e nce […]

[…] 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 […]