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[…] Benifei (Member of European Parliament, co-Rapporteur of the AI Act), John Edwards (Information Commissioner, U.K. Information Commissioner’s Office), and Louisa Specht-Riemenschneider (Federal Commissioner for Data Protection and Freedom of Information, Germany), on Cross-regulatory Cooperation Between Digital Regulators.  Their panel began by painting a detailed portrait of how the proliferation of digital regulations has created […]

On May 7, 2025, the Future of Privacy Forum (FPF) hosted a “Deploying AI Systems” workshop at the Privacy + Security Academy’s Spring Academy, which took place at The George Washington University in Washington, DC. Workshop participants included students and privacy lawyers from firms, companies, data protection authorities, and regulatory agencies around the world. The […]

[…] lowest numerical applicability thresholds of any of the state comprehensive privacy laws when the law was enacted in 2023. At that time, prior comprehensive privacy laws in Virginia, Colorado, Utah, Connecticut, Iowa, and Indiana all applied to controllers that either (1) control or process the personal data of at least 100,000 consumers (“the general […]

[…] contract performance, bringing Indonesia closer to global privacy frameworks. In November 2023, the Philippines‘ National Privacy Commission issued a Circular on Consent, clarifying valid consent standards and promoting transparency. The guidance aims to reduce consent fatigue by encouraging layered, contextual consent interfaces and outlines when consent may not be strictly necessary. South Korea amended […]

[…] the advancement of science and healthcare improvements which are accomplished with de-identified data. Properly implemented de-identification complying with the HIPAA de-identification provisions goes a long way toward promoting such a reasonable balance, but I would suggest that there is still room for further improvements in this regard. Where Should We Go From Here? Perhaps […]

[…] high utility loss for QIs) Masking Obscure parts of data values (e.g., XXXX) Obscure direct identifiers Simple; Preserves format Limited privacy protection; Can reduce utility; Hard for free text Low (Insufficient for QIs in queries) Generalization Replace specific values with broader categories Reduce identifiability via QIs Basis for k-anonymity Significant utility loss, especially in […]

[…] 2060. This rapidly aging population presents complex challenges and opportunities, particularly in the increased demand for resources necessary for senior care and the use of AgeTech to promote improved autonomy and independence. FPF will lead rigorous, independent research into these issues, with a particular focus on the privacy expectations of seniors and caregivers, cost […]

[…] with recognition “Breakfast brought to you by ” »Company name and logo displayed on signage at event »Recognition with company logo on invitations, event sites and on-site promotional materials »Official recognition of sponsor during Opening Remarks »Opportunity to provide (1) promotional item and (1) giveaway via QR code on breakfast tables. Must be approved […]

[…] of Sponsorship include: » Company name, logo, and website link in event invitations » Official recognition during the Reception by FPF Leadership » Opportunity to provide (1) promotional item and (1) giveaway. Must b e approved in advance by FPF Sponsorship Team » Prominent recognition of name and logo on signage at event » […]

[…] Sponsorship include: » Company name, logo , and website link in event invitations »Official recognit ion during the Reception by FPF Leadership »Opportunity to pro vide (1) promotional item and (1) giveaway via QR code. Must be approved in advance by FPF Sponso rship Team »Prominent recog nition of name and logo on signage […]