Showing results for viiia20 2011va promised japan viiia20 2011va
Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
[…] against a wide range of global standards. Section 4 details this comparison, referencing frameworks from the OECD, UNESCO, the EU, the US, the World Economic Forum, and Japan. 2.1. The Guidelines establish specific roles, responsibilities, and recommended actions for three key stakeholder groups in the AI ecosystem The Guidelines assign responsibilities across the AI […]
Understanding Japan’s AI Promotion Act: An “Innovation-First” Blueprint for AI Regulation
[…] being reshaped not only by rapid technological advancement but also by a worldwide push to establish new regulatory regimes. In a landmark move, on May 28, 2025, Japan’s Parliament approved the “Act on the Promotion of Research and Development and the Utilization of AI-Related Technologies” (人工知能関連技術の研究開発及び活用の推進に関する法律案要綱) (AI Promotion Act, or Act), making Japan the […]
Comparative table_ EU AI Act – South Korea AI Framework Act – Japan AI Promotion Act
C om para tiv e ta b le : EU AI Act – Sou th Kore a AI Act – Ja p an AI Pro m otio n Act E uro p ean Unio n A I Act S ou th Kore a A I Fra m ew ork Act J a p an A […]
Meet Bianca-Ioana Marcu, FPF Europe Managing Director
FPF is pleased to welcome our colleague Bianca-Ioana Marcu to her new role as Managing Director of FPF Europe. With extensive experience in privacy and data protection, she takes on this responsibility at a pivotal moment for digital regulation in Europe. In this blog, we will explore her perspectives on the evolving privacy landscape, her […]
3.Global AI Leg. Brief Sheet
[…] example, the EU AI Act implementation is reaching full speed, and new AI laws are either being adopted (South Korea), quickly advancing (Brazil), or being prepared ( Japan and China). At the same time, some have suggested that fast-moving AI tech, business practices, and individuals’ engagement with AI tools should prompt policymakers to revisit […]
FPF Unveils Paper on State Data Minimization Trends
Today, the Future of Privacy Forum (FPF) published a new paper—Data Minimization’s Substantive Turn: Key Questions & Operational Challenges Posed by New State Privacy Legislation. Data minimization is a bedrock principle of privacy and data protection law, with origins in the Fair Information Practice Principles (FIPPs) and the Privacy Act of 1974. At a high […]
FPF-AnnualReport2023-1
[…] to advance principled data practices worldwide, and in our fifteenth year, the founding mission has remained integral to our work. From hosting an inaugural Privacy Symposium in Japan and the seventh Brussels Privacy Symposium in Europe to re- launching the FPF training program, the FPF team was engaged around the world, connecting with stakeholders […]
FPF Experts Take The Stage at the 2025 IAPP Global Privacy Summit
[…] such as the use of personal data (Singapore), addressing risk in AI systems (Australia), promoting industry development (South Korea), fostering international cooperation, and responsible AI practices ( Japan), government oversight of deployment of AI systems (India) and regulating misinformation and personal information protection (China). “The APAC region is like a huge experimental lens for […]
DBJ_Weld_Re-Identification
[…] we should actively prohibit re-identification, and require those with access to de-identified data to guard and use it appropriately. HHS Office of Civil Rights (OCR) regulators have promised to provide new guidance in the near future for the de-identification of health data in response to a Congressional mandate to do so. HHS OCR regulators […]
The Curse of Dimensionality: De-identification Challenges in the Sharing of Highly Dimensional Datasets
[…] and privacy budget management. Errors in implementation, such as underestimating sensitivity or mismanaging the privacy budget across multiple queries (due to composition rules), can silently undermine the promised privacy guarantees. Defining the “privacy unit” (e.g., user, query, session) appropriately is critical; misclassification can lead to unintended disclosures. Auditing DP implementations for correctness is also […]