利用AI构建科学未来政策框架（英）_32页_4mb

Policy Framework for Building the Future of Science with AI

Executive Summary

This report outlines a three-pillar policy framework for governments to harness artificial intelligence (AI) in scientific discovery. AI can accelerate research, democratize access, and address global challenges such as health, climate change, and energy. The framework emphasizes increasing AI infrastructure access, investing in AI-driven science, and implementing pro-science legal frameworks. By adopting these policies, governments can unlock AI's potential for breakthroughs and foster international collaboration.

Key Pillars and Recommendations

Pillar 1: Infrastructure

• Increase access to AI tools, data, and computational resources through national and international centers.
• Promote data sharing, interoperability, and the creation of diverse datasets while ensuring privacy protections and security measures. Examples include establishing resource pools for healthcare, climate science, and education.

Pillar 2: Investment

• Provide sustained funding for AI research, focusing on priority areas like drug discovery, climate modeling, and talent development.
• Encourage interdisciplinary collaborations, public-private partnerships, and grand challenges to drive innovation and address pressing issues. Include educational programs and early-stage funding to build a strong talent pool.

Pillar 3: Innovation

• Develop harmonized regulations that balance risk mitigation with scientific progress, such as pro-innovation privacy laws and cross-border data flows.
• Establish regulatory sandboxes for testing AI applications and adopt technology-agnostic frameworks to support global collaboration and rapid deployment.

Conclusion

Governments should prioritize this framework to enable AI-driven scientific advancements, enhance global innovation, and tackle humanity's most pressing challenges through responsible and equitable policies.