2025人工智能机遇行动计划报告_26页_1mb

AI Opportunities Action Plan Summary

Core Content

The AI Opportunities Action Plan outlines a comprehensive strategy for the UK to lead in the global AI revolution. It emphasizes the importance of investing in AI infrastructure, unlocking data assets, training and attracting AI talent, and ensuring safe and trusted AI development. The plan is structured around three main goals: laying the foundations for AI, changing lives through AI adoption, and securing the UK's future by becoming a homegrown AI leader.

Main Viewpoints

• The UK is already a major AI market and has strong foundations in AI research, startups, and safety governance.
• To remain a global leader, the UK must actively build and use AI, not just wait for it.
• The plan promotes shared economic prosperity, improved public services, and increased personal opportunities through AI.
• The UK needs a strategic and long-term approach to AI infrastructure, data access, talent development, and regulation.

Key Information

1. Lay the Foundations to Enable AI

1.1 Building Sufficient, Secure and Sustainable AI Infrastructure

• The UK needs a diverse and robust AI infrastructure to support both national priorities and economic growth.
• The infrastructure should include:
  • Sovereign AI compute: Owned or allocated by the public sector to support mission-focused research and critical services.
  • Domestic AI compute: Privately owned and operated, but strategically positioned to enhance economic security and innovation.
  • International compute: Accessible through partnerships and reciprocal agreements to expand capabilities and drive joint research.
• The government should:
  • Develop a 10-year investment plan for AI infrastructure.
  • Expand the AI Research Resource (AIRR) by 20x by 2030.
  • Create AI Growth Zones (AIGZs) to accelerate data centre development.
  • Ensure diversity in hardware providers to avoid vendor lock-in and promote value for money.
  • Collaborate with the UK Intelligence Community and support novel compute hardware.

1.2 Unlocking Data Assets in the Public and Private Sector

• High-quality data is essential for AI innovation and development.
• The government should:
  • Identify and make available five high-impact public data sets by 2025.
  • Use synthetic data generation to preserve privacy while enabling AI research.
  • Strategically collect data in areas that align with UK strengths, such as healthcare and science.
  • Develop guidelines for releasing open government data for AI use.
  • Couple compute allocation with access to private data sets.
  • Build public sector data collection infrastructure and fund new data sets.
  • Incentivize private sector data curation and promote diversity in AI talent.

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

• The UK must train and attract tens of thousands of AI professionals by 2030.
• The government should:
  • Accurately assess the skills gap and update data regularly.
  • Support universities in developing industry-relevant AI courses.
  • Expand cooperative education models and apprenticeships to increase access to AI careers.
  • Launch a flagship AI scholarship programme similar to Rhodes, Marshall, or Fulbright.
  • Ensure lifelong learning is prepared for AI’s impact on the workforce.
  • Promote diversity in AI talent, especially among women.
  • Expand the Turing AI Fellowship to attract specialists from other sectors.

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

• The UK’s pro-innovation regulatory approach is a competitive advantage.
• Regulation should support fast, safe, and wide adoption of AI without stifling innovation.
• The government should:
  • Continue to support and grow the AI Safety Institute (AISI).
  • Provide clarity on the regulation of frontier models.
  • Use regulatory sandboxes and assurance tools to drive innovation and trust.
  • Protect UK citizens from AI risks while fostering public trust in the technology.

2. Change Lives by Embracing AI

• AI adoption is central to achieving government missions, especially economic growth and improved public services.
• A “Scan → Pilot → Scale” approach should be adopted across government to ensure effective AI integration.
• The government should reinforce collaboration between the public and private sectors.
• Private-sector adoption barriers must be addressed to ensure widespread AI use and productivity gains.

3. Secure Our Future with Homegrown AI

• The UK must position itself as an AI maker, not just a user.
• The goal is to create national champions at key layers of the AI stack to ensure economic benefits and influence on AI values and governance.
• The government should catalyze innovation in AI for science and robotics to drive transformational impact.

Conclusion

• The Action Plan is ambitious and forward-looking.
• It requires investment, leadership, and collaboration between the public and private sectors.
• The UK has a unique opportunity to lead the AI revolution on its own terms, ensuring economic security, social benefit, and global influence.

Recommendations Summary

• Develop a 10-year AI infrastructure plan with clear investment and strategic objectives.
• Expand the AIRR and create AIGZs to accelerate AI development.
• Unlock public and private data through responsible governance and synthetic data.
• Train and attract tens of thousands of AI professionals and promote diversity.
• Support AI Safety Institute and Turing AI Fellowships to ensure trust and safety in AI.
• Foster international partnerships and regulatory clarity to enable safe and wide adoption.

This plan aims to ensure that the UK shapes the future of AI, not just adapts to it, by investing in the right foundations, data access, talent development, and regulatory frameworks.