The European Commission has established key governance structures for the EU Artificial Intelligence Act ahead of its 2 August 2025 implementation deadline. The European AI Board, comprising EU Member States, is now operational. National competent authorities must be designated by 2 August to implement, supervise and enforce AI system rules, investigate compliance, designate notified bodies for pre-market approvals, and establish regulatory sandboxes. The Commission has adopted rules for a Scientific Panel of independent experts and opened applications for both the Panel and the AI Act Advisory Forum. The Commission will publish a list of designated national authorities on a dedicated webpage.

The principle of interpretation of statutes and other documents that general provisions do not derogate from specific ones.

Accounting practice in compliance with a particular body of company law and accounting methods, thus UK GAAP, or US GAAP.

The earliest commercial nuclear power stations designs, including Magnox in the UK.

The set of designs which makes up the bulk of today's operating nuclear power stations, including PWRs, BWRs, CANDU, VVER and AGR.

Reactor designs available for construction today, making more use of passive safety features and including AP1000, Advanced CANDU, ABWR and ESBWR.

Generation IV reactors are a set of theoretical nuclear reactor designs that are currently being researched. An international task force known as the Generation IV International Forum is currently developing six such designs which are expected to be ready for deployment between 2020–2030.

Law firms and in-house legal teams are more generationally diverse than ever before. From seasoned legal professionals to newly qualified solicitors and trainees, different age groups now work side by side, bringing a rich mix of perspectives, skills, and expectations. Understanding these generational differences will enable you to identify the distinct values, communication preferences, and work styles that each brings to the workplace, and use that understanding to create more effective, cohesive, and inclusive teams. In this practice note we will cover: • an overview of generational cohorts • key differences between one generation and the next • the impact of these differences on the legal workplace • strategies for managing generational differences • case study review • looking to the future Overview of generational cohorts We should never judge anyone simply based on the year in which they were born. What we’re aiming to do in this Practice Note is to understand what has shaped the behaviour of the different generations and explore some of the generalised

Introduction The purpose of this Practice Notice is to consider the issues arising in relation to the development, implementation and use of generative artificial intelligence (GenAI) technologies in so far as they relate to the ownership and protection of relevant IP rights. This includes consideration of the ownership and use of IP-protected materials in the training of GenAI models (including issues around text and data mining (TDM)), consideration of the IP rights that might arise in relation to the prompts that are given to GenAI systems, ownership of IP in the technology of the AI system itself, and ownership of the content that the GenAI system produces. What is GenAI? GenAI is an umbrella term for all AI models capable of generating or creating new and original material, which may include text, code, images, audio, or video. The exact definition of GenAI is not universally agreed. Regulation (EU) 2024/1689 laying down harmonised rules on artificial intelligence (the EU AI Act), which was published in the Official Journal of the EU on 12 July 2024, does not include

The Cabinet Office and the Central Digital and Data Office have published guidance on how civil servants and those working in government organisations should use generative artificial intelligence (AI) safely and securely. The generative AI framework for HM Government sets out ten principles to guide safe, responsible and effective use of generative AI in government organisations, including using the technology ethically and responsibly, knowing how to keep the tools secure, and ensuring there is meaningful human control where necessary. It also outlines practical steps that should be taken when building generative AI solutions and that these are created in a way that takes into account legal considerations, ethics, data protection and privacy, security and governance.

Toby Headdon, of Bristows LLP, considers the EU Parliament’s Policy Department for Justice, Civil Liberties and Institutional Affairs’ study on Gen AI and the issues it poses to copyright holders.

This Checklist is designed for use by a buyer undertaking data protection due diligence in the course of acquiring the shares or assets of a business that processes personal data in the context of using, developing or supplying generative artificial intelligence (GenAI) systems. It aims to surface data protection risks and enable a buyer to form a comprehensive view of a target’s risk profile in respect of its GenAI systems, models or tools used for internal operational purposes or provided externally to third parties (Business GenAI Systems). GenAI—a type of artificial intelligence that creates new content, such as text, images, audio, video or code, based on patterns learned from training data—is now widely adopted across industries and national borders. GenAI systems typically rely on substantial volumes of data, including personal data, to train and refine their underlying models. Their development and deployment may therefore give rise to significant compliance challenges under the EU’s General Data Protection Regulation, Regulation (EU) 2016/679 (EU GDPR) regime, particularly in relation