用市场机制激励负责任的AI发展，补充传统监管不足。
AI Governance through Markets
- 通过保险、审计等四类市场工具，将AI风险与金融风险挂钩。
- 标准化披露可改善资本配置效率，降低系统性风险。
- 适合政策制定者、经济学家及AI研发人员参考实践。
本文主张将市场治理机制视为人工智能治理的关键途径，与传统监管框架并行。尽管当前治理多聚焦于法规，我们提出市场机制能有效激励负责任的AI开发。文章探讨了四大新兴市场治理路径：保险、审计、采购和尽职调查，证明这些机制可明确AI风险与金融风险的关联，并解决资本配置低效问题。虽不认为市场力量足以完全保障社会利益，但标准化的AI信息披露与市场机制可形成强大激励，推动安全可靠的AI发展。本文呼吁监管机构、经济学家与机器学习研究者共同探索并实施基于市场的AI治理方案。
原文摘要 · Abstract (English)
This paper argues that market governance mechanisms should be considered a key approach in the governance of artificial intelligence (AI), alongside traditional regulatory frameworks. While current governance approaches have predominantly focused on regulation, we contend that market-based mechanisms offer effective incentives for responsible AI development. We examine four emerging vectors of market governance: insurance, auditing, procurement, and due diligence, demonstrating how these mechanisms can affirm the relationship between AI risk and financial risk while addressing capital allocation inefficiencies. While we do not claim that market forces alone can adequately protect societal interests, we maintain that standardised AI disclosures and market mechanisms can create powerful incentives for safe and responsible AI development. This paper urges regulators, economists, and machine learning researchers to investigate and implement market-based approaches to AI governance.
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