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English(EN) The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?

研究发现:英国公司披露的人工智能风险增多,但实质内容滞后

一项对2020年至2025年间英国上市公司9821份年报的分析显示,人工智能风险披露显著增加,从2.8%上升到41.2%。尽管如此,这些披露的实质质量仍然很低,2025年只有4.3%的报告包含关于人工智能风险的有意义信息。研究还发现,同期人工智能采用披露从13.8%增加到45.2%,其中Microsoft是提及最多的供应商。关键国家基础设施行业和AIM等特定市场板块的披露率各不相同,能源和数据基础设施行业落后。 AI

影响 凸显了企业在人工智能风险方面透明度方面的差距,可能影响未来的监管披露要求。

排序理由 该集群基于一篇在arXiv上发表的学术论文,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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研究发现:英国公司披露的人工智能风险增多,但实质内容滞后

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该集群基于一篇在arXiv上发表的学术论文,详细介绍了研究结果。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Bart Jaworski ·

    人工智能风险观测站:从年报中的人工智能披露中能学到关于社会韧性的什么?

    arXiv:2610.02281v1 Announce Type: new Abstract: Societal resilience research relies on access to useful and actionable data, which motivates our main research question: Can annual reports, processed at scale with LLMs, provide a useful signal about how companies disclose their re…