The rapid financing of the AI boom through massive corporate debt issuance is creating significant stress on global financial markets. This influx of private capital forces competition with government Treasury bonds, as AI companies offer higher yields than equivalent sovereign debt, thereby pushing up long-term interest rates. While this signals strong investment demand for AI, it raises concerns about systemic risk and the potential destabilization of core bond markets. Policymakers must navigate the tension between fueling critical technological growth and maintaining stable public borrowing costs to prevent a financial crisis.
Looking Beyond the Government’s Regulatory Toolkit: Early Findings on How Business and Civil Society Actors Can Help Manage and Mitigate Transformative Artificial Intelligence Risks and Impacts
English Summary
This RAND report argues that managing the risks of transformative AI requires non-governmental actors to take a proactive role complementary to government regulation. The analysis develops a framework identifying three key roles for business and civil society: managing technical operational risks (e.g., pre-deployment testing); shaping market incentives through procurement and insurance; and supporting social stability via workforce transition planning. By detailing these actions, the report provides actionable strategies that can raise industry safety standards and build public trust in AI systems, effectively establishing a 'plumbing' for safety ahead of formal policy implementation.
中文摘要
這份RAND報告主張，管理變革性人工智慧（AI）的風險，需要非政府行為者採取主動積極的角色，以作為政府監管的補充。該分析建立了一個框架，識別出企業和公民社會的三個關鍵角色：管理技術操作風險（例如部署前測試）；透過採購和保險等方式塑造市場激勵；以及透過勞動力轉型規劃支持社會穩定。報告詳細闡述了這些行動，提供了可行的策略，有助於提高產業安全標準並建立公眾對AI系統的信任，從而在正式政策實施之前，有效構建起一套「安全基礎設施」。
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