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Position: AI Is Not Ready for Strategic ConflictsPosition: AI Is Not Ready for Strategic Conflicts

📅 2026-09-16 ⏱️ 约 5 分钟阅读⏱️ 5 min read ✍️ AI导航编辑部✍️ AI Nav Editorial 🔗 arxiv.org
Position: AI Is Not Ready for Strategic Conflicts
📝 内容摘要📝 Summary

Computer Science > Artificial Intelligence [Submitted on 31 Jul 2026] Title:Position: AI Is Not Ready for StrategiComputer Science > Artificial Intelligence [Submitted on 31 Jul 2026] Title:Position: AI Is Not Ready for Strategi

📌 核心要点

  • Computer Science > Artificial IntelligenceComputer Science > Artificial Intelligence
  • [Submitted on 31 Jul 2026][Submitted on 31 Jul 2026]
  • Title:Position: AI Is Not Ready for Strategic ConflictsTitle:Position: AI Is Not Ready for Strategic Conflicts

Computer Science > Artificial Intelligence

[Submitted on 31 Jul 2026]

Title:Position: AI Is Not Ready for Strategic Conflicts

View PDF HTML (experimental)Abstract:Open-ended strategic wargames are high-stakes LM-based social simulations: they model adversaries, institutions, escalation, plan brittleness, doctrine, and crisis response. Language models (LMs) are attractive because they can play agents, generate scenario branches, adjudicate ambiguous actions, and summarize lessons, but the same affordances make open-ended roles dangerous: model language determines both what an actor attempts and what becomes simulated reality. This position paper argues that no LM-enabled wargame should inform planning, doctrine, policy, or crisis response without an auditable safety case, and that the proper use of open-ended wargames today is to stress-test decision-influencing LM agents. We identify five failure modes: decision laundering, adjudication opacity, role collapse, escalation-through-adjudication, and failure of strategic imagination. Ordinary benchmarks cannot establish safety for these settings. Wargames can expose failures as stress tests; they are not themselves safety cases for consequential use.

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Computer Science > Artificial Intelligence

[Submitted on 31 Jul 2026]

Title:Position: AI Is Not Ready for Strategic Conflicts

View PDF HTML (experimental)Abstract:Open-ended strategic wargames are high-stakes LM-based social simulations: they model adversaries, institutions, escalation, plan brittleness, doctrine, and crisis response. Language models (LMs) are attractive because they can play agents, generate scenario branches, adjudicate ambiguous actions, and summarize lessons, but the same affordances make open-ended roles dangerous: model language determines both what an actor attempts and what becomes simulated reality. This position paper argues that no LM-enabled wargame should inform planning, doctrine, policy, or crisis response without an auditable safety case, and that the proper use of open-ended wargames today is to stress-test decision-influencing LM agents. We identify five failure modes: decision laundering, adjudication opacity, role collapse, escalation-through-adjudication, and failure of strategic imagination. Ordinary benchmarks cannot establish safety for these settings. Wargames can expose failures as stress tests; they are not themselves safety cases for consequential use.

References & Citations

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Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)

Connected Papers (What is Connected Papers?)

Litmaps (What is Litmaps?)

scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)

CatalyzeX Code Finder for Papers (What is CatalyzeX?)

DagsHub (What is DagsHub?)

Gotit.pub (What is GotitPub?)

Hugging Face (What is Huggingface?)

ScienceCast (What is ScienceCast?)

Demos

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Influence Flower (What are Influence Flowers?)

CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

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来源arxiv.org· 本文为编辑整理,仅供参考