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FPF_Renn-Research-BriefR_R3-1
[…] demographics (e.g., race/ethnicity, sex, age) Financial aid records (FAFSA, institutional forms, award history) International student documentation (e.g., student visa records/documentation) Student contact information (mailing and email address, phone) Documentation of student disability for receiving accommodations Student conduct (academic and non-academic) Participation in limited programs such as TRIO, summer bridge, honors program/college Academic course data, […]
Educational-Technology-Consent-Form
[…] insert url ] or contact the district’s [ insert party responsible for student privacy, e.g., Chief Information Officer ] [ insert name ] at [ insert email/ phone number ]. After reviewing, please sign to acknowledge that you have reviewed and understand the district’s policies and practices with respect to your student’s access to […]
Back-to-School-Letter
[…] have any questions or concerns, please visit [ insert url ] or contact the district’s [ insert party responsible for student privacy, e.g., Chief Information Officer ] [ insert name ] at [ insert email/ phone number ]. Thank you and we look forward to a successful school year. Kind Regards, [ insert signature ]
FPF-Student-Privacy-Communications-Toolkit-For-Schools-and-Districts
[…] its efforts to better protect student privacy. Depending on the culture of your district, certain mediums may be more effective than others. For example, email, in-person meetings, phone calls, or the use of a (pre-vetted) app could be the best way to keep your community in the loop. Schools and districts should employ more […]
More Parties, More Risks, More Opportunity? Evolving Governance to Support Cyber Resilience Amidst Evolving Policy and Technological Change
[…] model providers, and open-source components. While the growth of these interconnected supply chains can yield efficiencies and service improvements and accelerate innovation, they can also multiply the number of attack surfaces that bad actors can exploit. Over several years, FPF has been exploring the ways that AI can accentuate security risks, while also creating […]
Contextualizing the Proposed SECURE Data Act in the State Privacy Landscape
[…] the federal bill applies at 200,000 consumers nationally. Thus, for businesses operating across multiple states, the federal threshold may be easier to meet despite the higher absolute number, while the bill’s additional revenue requirement ($25M) could exclude smaller data-intensive entities within scope of many state laws. Exemptions: Consistent with most of the state laws, […]
The Alabama Personal Data Protection Act Brings Consumer Privacy to the Heart of Dixie
[…] 25,000 consumers (excluding data processed solely for completing a payment transaction), or (2) derive more than 25% of gross revenue from selling personal data, regardless of the number of consumers whose personal data is processed or sold. These thresholds are low. Most state comprehensive privacy laws set the main processing threshold at 100,000 affected […]
FPF-AnnualReport2024
[…] Kids Online Safety and Privacy Act (KOSPA), Children and Teens Online Privacy Protection Act (“COPPA 2.0”), and the California Age-Appropriate Design Code Act (AADC). With the increased number of enacted and evolving legislation, FPF’s work included a breakdown of bills related to children’s online safety, including the status quo of knowledge standards currently under […]
The Price is Right: Responsible Uses of Personal Data in Pricing
[…] resource provides an overview of how data is used to inform pricing; contextualizes data-driven pricing in existing U.S. law, enforcement activity, and emerging legislation; and recommends a number of best practices for guiding retail and e-commerce platforms in using data responsibly when it affects pricing. These practical recommendations, developed in consultation with companies working to […]
The Price is Right: Responsible Uses of Personal Data in Pricing
[…] shopping have given retailers the ability to automatically tailor offers to customers in real-time or near-real-time based on increasing amounts of data about markets and consumers. A number of pricing strategies involving personal data, market data, and advanced machine learning—what this resource refers to collectively as “data-driven pricing”—have recently become common marketing practice. While […]