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RiskNet dataset tracks AI incidents from global news sources

By PulseAugur Editorial · [2 sources] ·

Researchers have developed RiskNet, a large-scale dataset designed to track and analyze real-world AI risk incidents. This dataset is compiled from multilingual news sources and employs a structured pipeline for identifying, screening, and classifying AI-related harms. RiskNet aims to provide a continuous, data-driven resource for monitoring AI risks, supporting research in AI safety and governance, and bridging the gap between high-level principles and documented incidents. AI

IMPACT Provides a structured resource for analyzing AI safety and governance failures, enabling data-driven risk assessment.

RANK_REASON The cluster contains an academic paper describing a new dataset.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

RiskNet dataset tracks AI incidents from global news sources

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
The cluster contains an academic paper describing a new dataset.
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
paper, safety
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
115 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Leihan Zhang, Wecheng Ye, Xianlong Ma, Haochuan Liu, Yang Li, Qianyu Zhang, Jinliang Chen, Qiang Yan ·

    RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations

    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…

  2. arXiv cs.AI TIER_1 English(EN) · Qiang Yan ·

    RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotations

    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…

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