China accelerates autonomous vehicle (AV) development and outpaces global markets with ambitious city-wide testing programs. This prompts ongoing legal debate and legislative action in response to this fast-evolving sector. The article provides an initial overview of the relevant regulations and emphasizes that, with the rapid advancement of autonomous driving technology, continuous refinement of legal regulations is essential to ensure a balance between technological progress and the protection of public interest.

AI models/systems, especially socalled Generative AI Systems are trained on big quantities of different kind of content, (e.g. texts, lyrics, songs, pictures etc.) which is often protected by copyright. This has raised the question, whether the use of such copyrighted content for the training of such AI systems requires permission of the author/rightholder of the used content or whether such permission is not necessary because such use can be justified by the application of the fair use doctrine.
The fair use doctrine according to Section 107 of the US Copyright Act is an affirmative defense against infringements of copyrighted works. At the end of June, two judges of the District Court of the Northern District of California have issued two decisions at the heart of which was the application of the fair use doctrine in the context of a training of AI Systems: Bartz v. Anthropic and Kadrey v. Meta. This article explains these decisions and offers an initial evaluation.

The Data (Use and Access Act 2025 has been a long time in coming and came close to causing a constitutional crisis between the House of Commons and House of Lords. It is the UK’s 4th statute dealing with data protection issues but encompasses also a range of other topics illustrating just how far the importance of data has expanded since the first statute in 1984.