东盟人工智能治理与伦理指南（英）-东南亚国家联盟-2024.1-87页_3mb

ASEAN Guide on AI Governance and Ethics Summary

1. Introduction and Objectives

The ASEAN Guide on AI Governance and Ethics serves as a practical framework for organizations in ASEAN to design, develop, and deploy traditional AI technologies responsibly. It aims to promote alignment within ASEAN, foster interoperability of AI frameworks across jurisdictions, and provide recommendations for national and regional initiatives to ensure responsible AI use. The guide is voluntary and is intended to build trust, align with international standards, and be a living document reviewed periodically.

2. Guiding Principles

The guide outlines seven core principles to ensure ethical AI governance:

• Transparency and Explainability: Requires disclosure of AI use and communication of decision reasoning.
• Fairness and Equity: Involves mitigating bias and ensuring equitable outcomes.
• Security and Safety: Ensures AI systems are safe, secure, and undergo risk assessments.
• Human-centricity: Focuses on user well-being, avoiding manipulation, and minimizing job disruption.
• Privacy and Data Governance: Prioritizes data protection, privacy impact assessments, and compliance.
• Accountability and Integrity: Promotes human accountability and ethical conduct in AI design, development, and deployment.
• Robustness and Reliability: Ensures AI systems are resilient, consistent, and perform reliably.

3. AI Governance Framework

This section includes guidelines on:

• Internal Governance Structures: Establishing oversight bodies, clear roles, and policies to align with ASEAN principles.
• Determining Human Involvement: Using risk-based assessments to categorize decisions (human-in-the-loop, human-over-the-loop, human-out-of-the-loop).
• Operations Management: Covering project governance, data management, model testing, and monitoring throughout the AI lifecycle.
• Stakeholder Interaction and Communication: Ensuring transparency with stakeholders, providing feedback mechanisms, and fostering awareness.

4. Recommendations

• National-Level: Governments should nurture AI talent, support innovation ecosystems, invest in R&D, and raise citizen awareness of AI risks and benefits.
• Regional-Level: Establish an ASEAN Working Group on AI Governance for coordination, adapt the framework for generative AI, and compile use cases to share best practices.

5. Use Cases

Organizations like Aboitiz Group, EY, Gojek, UCARE.AI, Smart Nation Group, and Ministry of Education, Singapore, demonstrate practical AI governance implementations, including ethical considerations, human oversight, and stakeholder engagement.

6. Conclusion

The ASEAN Guide emphasizes collaboration among member states, the importance of a living document adaptable to AI advancements, and the need for continuous improvement to promote responsible and trustworthy AI use in the region.