The Commission, market surveillance authorities and notified bodies and any other natural or legal person involved in the application of this Regulation…
Artificial Intelligence Act
The Artificial Intelligence Act is a European Union regulation concerning artificial intelligence (AI). It establishes a common regulatory and legal framework for AI within the European Union (EU). The regulation entered into force on 1 August 2024, with provisions that shall come into operation gradually over the following 6 to 36 months.
EU Artificial Intelligence Act | Up-to-date developments and analyses of the EU AI Act
Browse the full AI Act text online. Search within the Act for parts which are relevant to you.
GDPR for AI Systems: 2026 Compliance Guide (with EU AI Act Updates)
How to make AI systems GDPR-compliant in 2026 — the practitioner roadmap covering EU AI Act overlap, EDPB Opinion 28/2024, DPIAs, data minimization, sub-processor cascades, and the technical controls lawyers don't explain.
The EU AI Act Is Ready – Interdependent Thoughts
A final draft of the European AI Regulation is circulating (here’s an almost 900 page PDF). The coming days I will read it with curiosity.
Government to ease data consent rules for AI development | The Asahi Shimbun Asia & Japan Watch
To accelerate artificial intelligence development, the government plans to relax consent requirements for access to personal information while introducing tougher penalties for intentional misuse.
Where AI Regulation Stands Today
The White House has released a National Artificial Intelligence Legislative Framework and new executive orders aiming to establish a single, nationwide standard for AI regulation...
AI Act Service Desk - AI Act Explorer
The official AI Act Explorer helps users search and browse Regulation (EU) 2024/1689, the EU Artificial Intelligence Act, by chapter, article, recital and annex.
Signal President Meredith Whittaker calls out agentic AI as having 'profound' security and privacy issues | TechCrunch
Signal President Meredith Whittaker warned Friday that agentic AI could come with a risk to user privacy. Speaking onstage at the SXSW conference in
AI and Doctrinal Collapse
Artificial intelligence runs on data. But the two legal regimes that govern data—information privacy law and copyright law—are under pressure. Formally, each re
Operationalizing the Legal Principle of Data Minimization for...
Article 5(1)(c) of the European Union's General Data Protection Regulation (GDPR) requires that "personal data shall be [...] adequate, relevant, and limited to what is necessary in relation to...
Guidelines on transparency obligations for providers and deployers of certain AI systems
These guidelines help providers and deployers of AI systems and competent authorities in ensuring compliance with the transparency obligations under Article 50 of the AI Act.
Guidelines on transparency obligations for providers and deployers of AI systems
These guidelines define the scope of transparency obligations for providers and deployers of AI systems under article 50 of the AI Act.
The Technical Feasibility of Divesting Google Chrome – Knight-Georgetown Institute
As the European Commission advances efforts under the Digital Markets Act to require Google to share its search data with competitors, lessons from historic antitrust remedies underscore how data access could be transformational in the AI-powered search market. While the Commission’s proposals represent a novel and comprehensive approach, key improvements to data scope and sharing frequency, privacy protections, and dispute resolution are needed. US courts and enforcers charged with implementing similar provisions should take note.
Artificial Intelligence and the Purpose of Social Systems
The law and ethics of Western democratic states have their basis in liberalism. This extends to regulation and ethical discussion of technology and businesses doing data processing. Liberalism relies on the privacy and autonomy of individuals, their ordering through a public market, and, more recently, a measure of equality guaranteed by the state. We argue that these forms of regulation and ethical analysis are largely incompatible with the techno-political and techno-economic dimensions of artificial intelligence. By analyzing liberal regulatory solutions in the form of privacy and data protection, regulation of public markets, and fairness in AI, we expose how the data economy and artificial intelligence have transcended liberal legal imagination. Organizations use artificial intelligence to exceed the bounded rationality of individuals and each other. This has led to the private consolidation of markets and an unequal hierarchy of control operating mainly for the purpose of shareholder value. An artificial intelligence will be only as ethical as the purpose of the social system that operates it. Inspired by the science of artificial life as an alternative to artificial intelligence, we consider data intermediaries: sociotechnical systems composed of individuals associated around collectively pursued purposes. An attention cooperative, that prioritizes its incoming and outgoing data flows, is one model of a social system that could form and maintain its own autonomous purpose.
Digital Omnibus: What Would it Mean for Competition and Privacy in Advertising? - The Platform Law Blog
In November 2025, the European Commission (“Commission”) proposed a “Digital Omnibus” regulation to amend several EU legislations.[1] Although presented as a simplification exercise to strengthen Europe’s competitiveness, the proposal revisits key provisions of the General Data Protection Regulation (GDPR) and the e-Privacy-Directive concerning the use of personal data, including for advertising purposes. The changes could […]
Privacy as EU Tech advantage - The LeafPlaza Blog
Online crime loves legal massive data collection, grey systems, and jurisdictional gaps. Privacy-first design can actually reduce crime exposure and build trust in digital services. It is also central to the EU's tech autonomy: build systems aligning with European rights and risk models. Do not rely on foreign platforms or copy outside practices that might go against the EU values and needs.