On 27 November 2025, the Government released the Regulatory Rationalisation Roadmap for the AI Sector. The document outlines a cross-government plan involving 25 ministries and 67 regulatory-improvement tasks covering technology development, service use, infrastructure, and trust-and-safety measures. It identifies a wide range of regulatory barriers, including issues related to AI training data, the application of copyright and industrial-property rights, the use of synthetic data, pseudonymisation and data-combination procedures, the opening of public data, autonomous-driving demonstration zones, and the safety certification of outdoor mobile robots. It also addresses questions concerning the use of personal data for AI training, data-centre artwork, and lift-installation rules, the definition of high-impact AI, and the development of AI-related hiring guidelines. The roadmap notes growing global competition, rapid AI-technology development, and the need for proactive regulatory updates. It sets out timelines from 2025 to 2032 for legislative amendments, the preparation of guidelines, the construction of data spaces, the development of criteria for AI-ready public data, standard models for manufacturing data, and improvements to the provision of pseudonymised data by public institutions.
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