世界经济论坛-人工智能治理联盟：简报系列（英）-2024.1-60页_1mb

报告摘要

AI Governance Alliance Briefing Paper Series

Briefing Paper Series
April 2024

Fore/Summary

Generative AI is revolutionizing industries, but raising risks like hallucinations, misuse, and fairness concerns.
The Presidio AI Framework introduces a structured approach to safety through guardrails, aiming for early risk mitigation via a "shift-left" methodology.
Collaboration among industry, governments, and academia is essential for ethical AI development and equitable global access.

Key Highlights

1. AI Governance Alliance Structure:

Comprised of three workstreams: Safe Systems & Technologies, Responsible Applications & Transformation, and Resilient Governance & Regulation.
Promotes inclusive multistakeholder dialogues and equitable AI resource distribution.

2. Presidio AI Framework:

Addresses generative AI risks by embedding technical and procedural guardrails across a four expanded lifecycle phases (Data, Building, Release, Adaptation).
Guardrail Implementation:
- Red teaming, reinforcement learning, model drift monitoring, and transparency documentation.
- Tooling efficiency-focused parameter-efficient tuning for cost-effective adaptation.
Shift-Left: Moving risk mitigation to design phases to minimize harm, improve ethics, and reduce legal risks.

3. Responsible Transformation & Inclusive Governance:

Prioritizes ethical embedding of generative AI in organizations via multifaceted frameworks:
- Accountability: Governance structures addressing workforce, sustainability, and misinformation risks.
- Transparency: Documentation and dissemination of model metrics influencing stakeholder trust.
- Global Access: Ensuring inclusion of the Global South in governance dialogues to maintain equity.

Conclusion

The framework by AI Governance Alliance provides a combined methodological and collaborative strategy for AI governance, stressing early prevention and shared accountability across stakeholders.

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