研究人员开发了RiskNet，一个旨在追踪和分析现实世界AI风险事件的大规模数据集。该数据集从多语言新闻来源汇编而成，并采用结构化流程来识别、筛选和分类AI相关危害。RiskNet旨在提供一个持续的、数据驱动的资源来监测AI风险，支持AI安全和治理的研究，并弥合高级原则与已记录事件之间的差距。 AI
影响 提供了一个结构化的资源，用于分析AI安全和治理的失败，从而实现数据驱动的风险评估。
排序理由 该集群包含一篇描述新数据集的学术论文。
AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
arXiv:2606.08376v1 Announce Type: cross Abstract: As artificial intelligence (AI) systems are increasingly deployed across socially consequential domains, reports of AI-related harms and failures have grown in frequency and diversity. Although existing governance frameworks artic…
As artificial intelligence (AI) systems are increasingly deployed across socially consequential domains, reports of AI-related harms and failures have grown in frequency and diversity. Although existing governance frameworks articulate high-level principles for responsible AI, la…