全球首份AI治理评估报告,揭示各国政策落地与实际保护间的巨大差距。
Global Index on Responsible AI: 2026 Report
- 基于人权框架,从政策、社会参与、制度条件三方面评估135国AI治理
- 126国出台至少一项AI政策,但78%的全球南方国家框架无法律约束力
- 仅18%国家要求公开政府算法,35国被发现使用高风险AI系统
基于联合国教科文组织《人工智能伦理建议书》等人权框架,全球负责任AI指数(GIRAI)2026年报告评估各国将负责任AI承诺转化为可执行保护、机构能力和救济机制的情况。报告涵盖五个维度:包容与多样性、伦理与可持续性、劳动与技能、信任与安全,以及公共部门中的AI应用。由135名国家研究者组成的全球网络收集并分析了68,138个数据点,覆盖38项指标,分属三大支柱:政府AI政策与实施(17项)、公民社会参与(5项)、赋能条件(15项),以及政府部署高风险AI系统的案例。数据时间范围为2023年11月至2025年9月。通过综合指标得出满分100分的国家排名。结果显示,尽管责任型AI治理正在扩展,126个样本国至少有一项政府政策或举措覆盖17项政策指标,但很少转化为实质性保护。例如,全球南方国家贡献了306个新框架中的203项,但其中78%为非约束性,而全球北方仅为42%。政府自身在算法透明度上亦未尽责:透明与可解释性虽表现最强(58%国家有框架),但仅18%要求公开政府算法。此外,有确凿证据表明35个国家存在高风险AI系统的政府部署。研究呼吁:负责任的AI治理需从框架采纳转向可执行的权利保障、资源充足的监督机构和可及的救济渠道。
原文摘要 · Abstract (English)
Grounded in human rights-based frameworks such as the UNESCO Recommendation on the Ethics of AI, the Global Index on Responsible AI (GIRAI) examines how countries translate responsible AI commitments into enforceable protections, institutional capacity, and redress mechanisms. GIRAI 2026 assesses these across five dimensions: Inclusion and Diversity, Ethics and Sustainability, Labour and Skills, Trust and Safety, and AI Use in Public Service. A global network of 135 country-level researchers collected and assessed 68,138 data points on 38 indicators organised across three pillars: government AI policy and implementation (17 indicators), civil society engagement (5), enabling conditions (15), and documented cases of government deployment of unacceptable-risk AI systems. The data covers November 2023 to September 2025. A score of 100 is derived from the indicators to rank all countries. Findings show that while responsible AI governance is expanding, with 126 of 135 countries having at least one government policy or initiative across the 17 AI Policy indicators, this does not often translate into meaningful protection. For instance, Global South countries account for 203 of 306 new cases of indicators with frameworks since the first edition, yet 78% of their frameworks remain non-binding compared with 42% in the Global North. Government commitment to AI governance also does not extend to their own algorithms: whereas Transparency and Explainability is one of the strongest performing indicators, with 58% of countries having some framework, only 18% require Public Disclosure of Government Algorithms. Credible evidence of government deployment of unacceptable-risk AI systems was also found in 35 countries. These findings show that responsible AI governance must move beyond framework adoption toward enforceable rights-based protections, resourced oversight institutions, and accessible redress.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。