FPF-Portal-Basic-User-Guide
FPF Portal Basic User Guide FPF Portal Login The FPF Portal is accessible to FPF Members via engage.fpf.org/ login . To login for the first time, click “Reset Password” and enter your email address. Then click “Send Password Link”. You will receive an email from the FPF Membership Team via Future of Privacy Forum <[email protected] […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
Data-driven pricing: A set of practices that use personal and/or non-personal data to routinely inform decisions about the prices and products offered to consumers, often for the purpose of price personalization. State lawmakers in the U.S. are seeking to regulate various pricing strategies that fall under the umbrella of data-driven pricing, following the release in […]
Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
[…] under federal health privacy law at all. Instead, protections depend on the state where a user lives, or whether the product falls under one of a growing number of state-level privacy laws or consumer health privacy laws. Laws like New York’s S929/NY HIPA, which remains in legislative limbo, reflect growing state interest in regulating […]
Nature of Data in Pre-Trained Large Language Models
[…] generate a human-readable response. Stage 2: Embedding contextual information Complex contextual information can be reflected as patterns in high-dimensional vectors. The greater the complexity, the higher the number of features that are needed. These are reflected as parameters of the high dimension vectors. Contrariwise, low dimension vectors contain fewer features and have lower representational […]
Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
[…] likely to result in a “high risk” to data subjects. The draft guidelines propose a two-tier approach to assess this risk, considering both quantitative factors (like the number of data subjects) and qualitative ones (such as data sensitivity). Notably, if a DPIA reveals a high overall risk, organizations may be required to notify the […]
The Connecticut Data Privacy Act Gets an Overhaul (Again)
[…] of certain types of personal data. Under the amendments, a controller cannot disclose the following types of data in response to a consumer access request: social security number; government-issued identification number (including driver’s license number); financial account number; health insurance or medical identification number; account password, security question or answer; and biometric data. Instead, […]
4. Sovereignty, Localization, and Related Challenges to Effective Cybersecurity Brief Sheet
[…] BOARD MEETING June 11–13, 2025 • Washington, D.C. Sovereignty, Localization, and Related Challenges to Effective Cybersecurity Discussion Leads: John Verdi and Jocelyn Aqua SESSION DESCRIPTION An increasing number of regulations seek to restrict or limit organizations’ ability to process data in certain countries or outside of specific jurisdictions. These restrictions are creating significant challenges […]
FPF Testimony Before the U.S. House of Representatives Financial Services Subcommittee on Financial Institutions
[…] process to issue these rules, and engaged with numerous stakeholders and closely monitored market developments to promote consumer interests, innovation, and competition. Ms. Strickland’s testimony lists a number of valuable aspects to the rule, including its treatment of consumer controls, screen scraping, security obligations, and industry standards. Her testimony also highlights five areas of […]
Framework for the Future- Reviewing Data Privacy in Today’s Financial System
[…] Given the rule’s breadth and depth, many stakeholders weighed in. In response to the proposed rule, over 11,000 comments were submitted. In ad dition to the sheer number of comments, the depth and content of the feedback is noteworthy as well. Many comments delved deeply into several corners of the rule, and were lengthy […]
FPF Unveils Paper on State Data Minimization Trends
[…] that is currently law in Maryland and several sectoral laws); and reasonable expectations (the approach taken by California). This rise of substantive data minimization rules raises a number of challenges and unresolved questions, which are explored in Part II. Some of these questions include the role of consent, what is a “requested” product or […]