为生成式人工智能制定弹性政策和法规的360°治理框架_37页_1mb

Summary of "Governance in the Age of Generative AI: A 360° Approach for Resilient Policy and Regulation"

Core Content

This white paper outlines a comprehensive 360° governance framework for generative AI, emphasizing the need for resilient policy and regulation that balances innovation with risk mitigation. The framework is structured around three key pillars: Harness past, Build present, and Plan future, each addressing different aspects of governance, from leveraging existing regulations to fostering international cooperation.

Main Points

1. Harness Past: Use Existing Regulations and Address Gaps

• Assess existing regulations for tensions and gaps introduced by generative AI.
• Clarify responsibility allocation among stakeholders using legal and regulatory precedents.
• Evaluate the capacity of regulatory authorities to enforce generative AI-related rules.
• Consider centralizing authority within a dedicated agency if necessary.

Key Regulatory Areas:

2. Build Present: Cultivate Whole-of-Society Governance and Knowledge Sharing

• Engage multiple stakeholders (industry, civil society, academia) to ensure inclusive and effective governance.
• Promote cross-sector knowledge sharing and interdisciplinary collaboration.
• Encourage responsible AI practices as a model for others to follow.

Strategies:

• Address stakeholder-specific challenges.
• Facilitate multistakeholder dialogue on emerging AI issues.
• Use non-regulatory tools to foster innovation and responsibility.

3. Plan Future: Incorporate Preparedness and Agility

• Develop national strategies that consider limited resources and global uncertainties.
• Implement horizon scanning to anticipate future risks and innovations.
• Conduct strategic foresight exercises to prepare for multiple possible futures.
• Perform impact assessments and adopt agile regulations to adapt to AI evolution.
• Foster international cooperation to align standards and facilitate knowledge sharing.

Key Actions:

• Targeted investments in AI upskilling and recruitment.
• Horizon scanning of AI innovation and risks.
• Foresight mechanisms to anticipate future scenarios.
• Impact assessments to guide regulatory agility.
• International alignment of standards and risk taxonomies.

Key Information

• The EU AI Act provides a model for comprehensive AI regulation.
• Global collaboration is essential to address the cross-border nature of generative AI.
• Resilient governance must be adaptive, inclusive, and multistakeholder.
• Legal clarity is needed to resolve tensions between horizontal (general) and vertical (sector-specific) regulations.
• Responsible AI practices should be encouraged through policy leadership and industry examples.
• Retroactive liability and dispute resolution mechanisms are important to ensure accountability.

Conclusion

The paper advocates for a harmonized and anticipatory approach to generative AI governance, ensuring that the benefits of AI are shared equitably and that risks are managed effectively. It calls for policy-makers, industry leaders, and civil society to work together in shaping a resilient, inclusive, and sustainable AI future. The 360° approach provides a roadmap for global governance, emphasizing the importance of learning from the past, building collaborative frameworks in the present, and planning for the future through foresight and international cooperation.