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Amendments to the Montana Consumer Data Privacy Act Bring Big Changes to Big Sky Country
[…] data. As amended, a controller now may not, in response to a consumer exercising their right to access their personal data, disclose the following information: social security number; government issued identification number (including driver’s license number); financial account number; health insurance account number or medical identification number; account password, security questions, or answer; or […]

DBJ_Weld_Re-Identification
[…] gender and 5-digit ZIP code—if, and this is a big “if”, they had also been in the GIC hospital data set. 5 Producing precise estimates of the number of individuals at potential risk of re-identification would require access to both the GIC hospital data and the 1996-97 age, gender and ZIP code stratified voter […]

The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
[…] richness that makes search data valuable also makes it exceptionally sensitive and fraught with privacy risks. Search queries frequently contain explicit personal information such as names, addresses, phone numbers, or passwords, often entered inadvertently by users. Beyond direct identifiers, queries are laden with quasi-identifiers (QIs) – pieces of information that, while not identifying in […]

FPF Launches Major Initiative to Study Economic and Policy Implications of AgeTech
[…] AgeTech includes a wide range of applications and technologies, from fall detection devices and health monitoring apps to artificial intelligence (AI)-powered assistants. As of 2024, older adults out number children in almost half of U.S. counties with projections that about one in five Americans will be age 65 or older by 2034 (a year sooner than originally estimated.) […]

FPF-2025-Sponsorship-Prospectus
[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]

FPF-2025-Sponsorship-Prospectus-3 (1)
[…] $5,000 for (3) months AUDIENCE Distribution list of 2,000 people, including corporate employees of 210+ FPF member companies. List includes senior level privacy executives from a significant number of Fortune 500 companies. Benefits of Sponsorship include: » C ompany name and logo included on LinkedIn Live promotional materials (LI posts, Twitter, a nd YouTube; […]

Updated Conformity Assessments under the EU AI Act: a step-by step guide with the final text of the AI Act
[…] it can be easily accessed using the interface from which the system is accessed. Additionally, when a notified body is involved in the CA process, the identification number of the notified body responsible for the CA must be affixed next to the CE marking. The identification number shall be affixed by the notified body […]

South Korea’s New AI Framework Act: A Balancing Act Between Innovation and Regulation
[…] submit their findings to the MSIT. For accountability, Article 36 provides that AI Business Operators without a domestic address or place of business and cross certain user number or revenue thresholds (to be prescribed) must appoint a “domestic representative” with an address or place of business in South Korea. The details of the domestic […]

Little Rock, Minor Rights: Arkansas Leads with COPPA 2.0-Inspired Law
[…] 2.0 As originally introduced, Arkansas’s bill was nearly identical to last year’s federal COPPA 2.0 bill. Arkansas’ framework went through various, largely business-friendly amendments (and one bill number switch) during its legislative journey. Though HB 1717 maintains the same general framework of COPPA 2.0, it includes several important divergences: No reliance on existing COPPA […]

FPF_AI_Governance_Behind_the_Scenes_R3_PRINT_-_2025_Update
[…] 3 Define and describe potential benefits associated with a particular use case, taking into account, for instance: a. Will it help make a process more efficient, simpler, cheaper? (e.g. marketing automation) b. Will it help the organization look at a large data set in a useful way to find patterns or make predictions? (e.g. […]