We welcome the Committee’s analysis of the challenges posed by AI and agree with the need for effective domestic governance and regulation, accompanied by international engagement and alignment, to ensure the UK can drive responsible, safe AI innovation and maintain public trust in AI. Many of the challenges highlighted by the Committee (such as the bias challenge, liability challenge, intellectual property and copyright challenge) relate to risks arising from or exacerbated by foundation models or frontier AI models. In the AI Regulation White Paper published in March 2023, we set out how we intend to regulate AI through a principles- based approach, delivered through our existing expert regulators. We highlighted the need for further work on foundation models as part of our broader analysis of accountability throughout the AI lifecycle. We will be providing a wider update on our domestic regulatory approach to AI through our response to the AI Regulation White Paper later this year. The AI Safety Summit on 1–2 November achieved a landmark agreement for a new international effort to unlock the benefits offered by AI, and will be the foundation on which future international action on AI safety is built. The Bletchley Declaration agreed an initial mutual understanding of frontier AI, including foundation models, and the risks associated with it. The Declaration also set out that countries will work in an inclusive manner to ensure human-centric, trustworthy and responsible AI that is safe. Wider work on foundation models is ongoing and is being informed by both the Frontier AI Taskforce, which offers vital insights and expertise and will play an integral part of the recently announced UK AI Safety Institute. The AI Safety Institute was announced as part of the AI Safety Summit, where the risks and challenges of foundation models and frontier AI were examined and discussed at an international level. Countries in attendance also agreed that Yoshua Bengio will lead delivery of a ‘State of the Science’ report, which will help build a shared scientific understanding of the capabilities and risks posed by frontier AI. The UK’s AI Safety Institute will play a vital role in leading this work, in partnership with countries around the world. We are taking immediate steps on frontier AI safety to begin addressing many of the challenges raised by the Committee. At the AI Safety Summit, for the first time, the UK secured agreement from leading frontier AI companies to publish their safety policies prior to the Summit, and the UK published a document on Emerging Processes for Frontier AI Safety to inform the further development of frontier AI organisations’ safety policies. Senior government representatives from leading AI nations, and major AI organisations, also agreed a plan for safety testing of frontier AI models, which involves testing models both pre- and post-deployment for national security, safety and societal harms, and a shared ambition to invest in public sector capability to support this. To begin to address the bias challenge, the Centre for Data Ethics and Innovation (CDEI) has launched a Fairness Innovation Challenge,3 that aims to drive the development of solutions to address bias and discrimination in AI systems and ensure alignment with the fairness regulatory principle proposed in the AI White Paper. The Challenge will be delivered with Innovate UK, and in partnership with key UK fairness regulators, the EHRC and the ICO. To further address the challenges of AI, the CDEI and the Central Digital and Data Office have developed the Algorithmic Transparency Recording Standard,4 which establishes a standardised way for public sector organisations to proactively and openly publish information about how and why they are using algorithmic methods in decision-making. The template requires information on how teams have considered privacy, accuracy, bias, and more, in the development and deployment of their tools. Through the white paper, the Government also emphasised the importance of active international engagement - both bilaterally and through multilateral fora, such as the Council of Europe, OECD, G7, Global Partnership on AI (GPAI), United Nations (UN), G20, and Standards Development Organisations (SDOs). We continue to recognise the need to shape the global development and governance of AI, achieving the right balance between responding to risks and maximising opportunities afforded by AI in doing so. We have continued to promote cross-border interoperability and coherence between the different multilaterals, advocating for an inclusive, multistakeholder approach to ensure each forum contributes to the international AI landscape as effectively as possible.