General Data Protection Regulation
PulseAugur coverage of General Data Protection Regulation — every cluster mentioning General Data Protection Regulation across labs, papers, and developer communities, ranked by signal.
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AI safety focuses on alignment, robustness, monitoring, and responsible deployment
AI safety involves technical and organizational practices to ensure AI systems function as intended, particularly as LLMs handle more critical tasks. Key areas include alignment, which ensures models follow developer go…
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AI agents challenge traditional data security with autonomous actions
The traditional question of "who touched the data" is becoming obsolete as agentic AI systems increasingly operate autonomously. These AI agents can access and move data at scales far exceeding human capabilities, often…
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AI era: Who owns your data and is it the new oil?
This article explores the concept of data as the new oil in the age of AI, questioning ownership and control of personal information. It delves into the implications of AI's increasing reliance on data and the ethical c…
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Google and Anthropic install large AI model files on user devices without consent
Anthropic and Google have been discovered to be installing native messaging bridges and large AI model files on user machines without explicit consent. These installations, found in Chromium-based browsers, raise signif…
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EU Commission calls AI output of personal data "regurgitated"
During a meeting concerning the EU's GDPR omnibus, officials from the EU Commission described AI-generated personal data as "regurgitated." This term, meaning to vomit or bring back up, was used to characterize the outp…
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Paper proposes ethical AI framework for driver monitoring systems in AVs
A new research paper proposes an ethical design framework for multimodal driver monitoring systems (DMS) in automated vehicles. The paper identifies gaps in current regulations like GDPR and the EU AI Act concerning in-…
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Google Chrome secretly downloads 4GB AI model without user consent
Google Chrome has been found to be downloading a 4GB AI model, identified as Gemini Nano, onto user devices without explicit consent. Privacy consultant Alexander Hanff discovered that the file, weights.bin, is automati…
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New attack reconstructs private graph data from GNN explanations
Researchers have developed a new attack called PRIVX that can reconstruct hidden graph structures from differentially private Graph Neural Network (GNN) explanations. The attack exploits the Gaussian differential privac…
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AI agents and human oversight automate GDPR legal formalization
Researchers have developed a method for automatically formalizing GDPR provisions using large language models within a human-in-the-loop verification system. This approach employs multi-agent AI components to generate l…
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MCPNest launches governance platform for expanding AI tool ecosystem
MCPNest has launched as a platform to govern and manage the rapidly expanding ecosystem of Machine Configuration Protocol (MCP) servers. It addresses the lack of centralized control by providing a marketplace for discov…
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Noyb says LinkedIn must give users free access to profile visitor data
The privacy advocacy group Noyb is challenging LinkedIn's practice of withholding profile visitor data from free users. Noyb argues that under GDPR's Article 15, all users have a right to access any personal data proces…
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EU AI Act negotiations stall, high-risk rules remain on track for 2026
The latest NicFab Newsletter highlights key developments in data protection and AI regulation. The European Data Protection Board (EDPB) celebrated its 10th anniversary, while the AI Act's trilogue negotiations are stal…
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Gnatta deploys autonomous AI agents for 24/7 customer chat management
Gnatta, a UK company, has launched a live chat tool that utilizes autonomous AI agents to handle customer interactions across various platforms. This solution aims to provide round-the-clock customer support and comply …
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The Measure of Deception: An Analysis of Data Forging in Machine Unlearning
Two new research papers explore vulnerabilities and detection methods in machine unlearning, a process designed to remove specific data from trained models for privacy compliance. One paper, "DurableUn," reveals that lo…
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Researchers propose graph federated unlearning for enhanced privacy preservation
Researchers have developed a new method for graph federated learning (GFL) that enhances privacy preservation by incorporating machine unlearning techniques. This approach addresses the challenge of sensitive user data …
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Researchers analyze metric unreliability in multimodal machine unlearning
Researchers have identified significant unreliability in current evaluation metrics for machine unlearning in Vision-Language Models (VLMs). Analysis of 36 unlearned LLaVA-1.5-7B models revealed that standard metrics li…
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EU launches AI Resources site with glossary and cross-references to nine digital acts
A new website, AI resources.eu, has been launched to serve as an open, bilingual reference for the European Union's digital regulatory landscape. The site currently details nine key acts, including the AI Act and GDPR, …
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AI Act and GDPR clash over automated decisions in employment
A legal analysis examines the intersection of Article 22 of the GDPR and the EU's AI Act concerning automated decision-making in employment. The author argues that Article 22 of the GDPR may not apply when automated sys…
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Google Chrome silently downloads 4GB AI model without user consent, sparking privacy concerns
Google Chrome has been found to be silently downloading a 4GB AI model, Gemini Nano, onto users' devices without explicit consent. Security researcher Alexander Hanff discovered that the file, named "weights.bin," is in…
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New DSFL framework enhances scalable and verifiable financial fraud detection
Researchers have introduced Dynamic Sharded Federated Learning (DSFL), a new framework designed to enhance cross-institutional financial fraud detection while preserving data privacy. DSFL addresses limitations in exist…