LLMs exhibit high failure rates on alignment tests for conflict contexts, with some models failing 80-100% on balance requests where legal responsibility is established.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.AI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Metis AI identifies digital tasks entangled in irreversibility, relationships, norms, and accountability that require human oversight rather than pure automation.
citing papers explorer
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Can AI Make Conflicts Worse? An Alignment Failure in LLM Deployment Across Conflict Contexts
LLMs exhibit high failure rates on alignment tests for conflict contexts, with some models failing 80-100% on balance requests where legal responsibility is established.
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Metis AI: The Overlooked Middle Zone Between AI-Native and World-Movers
Metis AI identifies digital tasks entangled in irreversibility, relationships, norms, and accountability that require human oversight rather than pure automation.