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News/Owner-Harm: A Missing Threat Model for AI Agent Safety
arxiv
PublishedApril 22, 2026 at 4:00 AM
—neutral

Owner-Harm: A Missing Threat Model for AI Agent Safety

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2604.18658v1 Announce Type: cross Abstract: Existing AI agent safety benchmarks focus on generic criminal harm (cybercrime, harassment, weapon synthesis), leaving a systematic blind spot for a distinct and commercially consequential threat category: agents harming their own deployers. Real-wor

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Discussion
Mentioned models
03
  • 01
    AgentHarm
  • 02
    AgentDojo
  • 03
    LLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#safety#security#benchmark#ai
Mentioned companies
03
SlackMicrosoftMeta

No replies yet. Be first.

Mentioned models
03
  • 01
    AgentHarm
  • 02
    AgentDojo
  • 03
    LLM
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#safety#security#benchmark#ai
Mentioned companies
03
SlackMicrosoftMeta

Related coverage

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arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning22harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!22harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation22harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions22h
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