AI机会行动计划（英）_28页_2mb

AI Opportunities Action Plan Summary

Core Content

The AI Opportunities Action Plan outlines a comprehensive strategy for the UK to harness the transformative potential of artificial intelligence (AI) across the economy and society. The plan is structured around three main goals: laying the foundations to enable AI, changing lives by embracing AI, and securing the UK's future with homegrown AI. It emphasizes the need for the UK to lead in AI innovation, ensure public trust, and foster a sustainable and competitive domestic AI ecosystem.

Main Views

• The UK is currently the third-largest AI market globally, with strong foundational research, a vibrant startup scene, and global leadership in AI safety and governance.
• The UK must invest in AI infrastructure, data access, and human capital to maintain its competitive edge and shape the future of AI.
• The government should act as a strategic partner in AI development, encouraging both public and private sectors to collaborate and innovate.
• A "Scan → Pilot → Scale" approach is recommended for government AI adoption to improve public services and boost productivity.
• The UK must ensure ethical, secure, and transparent AI development while remaining open to innovation.

Key Information

1. Lay the Foundations to Enable AI

This section focuses on building a robust AI infrastructure, unlocking data, and attracting and training AI talent.

1.1 Building Sufficient, Secure and Sustainable AI Infrastructure

• The UK needs a mix of sovereign compute, domestic compute, and international compute to support AI growth.
• A long-term 10-year investment plan should be developed to ensure the UK has the necessary compute capabilities.
• The AI Research Resource (AIRR) should be expanded by at least 20x by 2030 to support multiple AI model trainings and research.
• Al Growth Zones (AIGZs) will be established to accelerate AI data centre development through streamlined planning and access to clean power.
• The government should support novel compute hardware and collaborate with the Intelligence Community to mitigate security risks.

1.2 Unlocking Data Assets in the Public and Private Sector

• Access to high-quality data is essential for AI innovation and development.
• The National Data Library (NDL) will be created to unlock public and private data sets for AI research.
• The government should identify and release five high-impact public data sets by 2025, prioritizing those with significant economic and social value.
• Data collection should be strategically shaped to align with UK strengths, such as health and scientific data.
• Guidelines for open government data should be developed to ensure responsible and effective use for AI applications.
• The government should incentivize private data set curation and establish a copyright-cleared media asset training data set for international licensing.

1.3 Training, Retaining, and Attracting the Next Generation of AI Scientists and Founders

• The UK must train tens of thousands of AI professionals by 2030 to meet future demand.
• Higher education institutions should be supported to increase AI graduates and teach industry-relevant skills.
• The government should promote diversity in the AI talent pool, particularly in gender representation.
• Alternative education pathways, such as apprenticeships and further education, should be expanded.
• A flagship AI scholarship programme should be launched, modeled on international programs like Rhodes or Marshall, to attract top talent.
• The Turing AI Fellowship should be expanded to support specialists from other sectors in developing AI expertise.

1.4 Enabling Safe and Trusted AI Development and Adoption through Regulation, Safety and Assurance

• The UK's pro-innovation regulatory approach should be maintained to support AI growth.
• Regulation and assurance tools are critical to ensure safe and trusted AI adoption.
• The AI Safety Institute (AISI) should be supported and expanded to continue its leadership in AI safety and model evaluation.
• The government must provide clarity on regulating frontier models to preserve trust and collaboration.
• Regulatory sandboxes and clear rules can help drive innovation and economic growth in AI.

Conclusion

The UK has the potential to be a global leader in AI, but this requires bold and visionary action in infrastructure, data, talent, and regulation. The government must act quickly and decisively to ensure that AI development is secure, sustainable, and beneficial to all. By investing in the right foundations and fostering collaboration between the public and private sectors, the UK can shape the future of AI and secure its place as a leading innovator in the global AI landscape.