AI RESEARCH
I Can't Believe It's Corrupt: Evaluating Corruption in Multi-Agent Governance Systems
arXiv CS.AI
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ArXi:2603.18894v1 Announce Type: new Large language models are increasingly proposed as autonomous agents for high-stakes public workflows, yet we lack systematic evidence about whether they would follow institutional rules when granted authority. We present evidence that integrity in institutional AI should be treated as a pre-deployment requirement rather than a post-deployment assumption.