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English(EN) AI Controversy Database: https:// scand.ai/data AIAAIC Repository: https://www. aiaaic.org/aiaaic-repository INHUMAIN.AI: https:// inhumain.ai/ai-incident-track

AI 事件追踪资源目录

多个组织和项目致力于追踪和编目与人工智能相关的事件和争议。这些包括 AI 争议数据库、AIAAIC 存储库、INHUMAIN.AI、AI 安全指数、Exhibit AI 诉讼追踪器、MIT AI 风险存储库、OECD AI 事件数据库和 AI 事件数据库。这些资源旨在全面概述与 AI 相关的风险和危害。 AI

影响 提供 AI 风险和争议的集中视图,帮助研究人员和政策制定者理解和减轻潜在危害。

排序理由 该集群列出了多个追踪 AI 事件和风险的存储库和数据库,属于研究和数据收集范畴。[lever_c_demoted from research: ic=1 ai=1.0]

在 Mastodon — sigmoid.social 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI 事件追踪资源目录

本文如何被排名

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
该集群列出了多个追踪 AI 事件和风险的存储库和数据库,属于研究和数据收集范畴。[lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
safety, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准

报道来源 [1]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    AI 争议数据库:https:// scand.ai/data AIAAIC 知识库:https://www. aiaaic.org/aiaaic-repository INHUMAIN.AI:https:// inhumain.ai/ai-incident-track

    AI Controversy Database: https:// scand.ai/data AIAAIC Repository: https://www. aiaaic.org/aiaaic-repository INHUMAIN.AI: https:// inhumain.ai/ai-incident-tracke r/ AI Safety Index: https:// futureoflife.org/ai-safety-ind ex-summer-2026/ Exhibit AI litigation tracker: https:// ex…