arXiv Artificial Intelligence

Governance at the Boundary: How Agent Decomposition Degrades Policy Compliance

Governance at the Boundary: How Agent Decomposition Degrades Policy Compliance

Quick summary

arXiv:2608.16055v1 Announce Type: new Abstract: Existing agent benchmarks ask whether the agent finished the task. We ask whether it finished it within policy. We introduce Fiducia-bench, a benchmark for the governability of financial agents---whether they escalate when obligated, abstain when required, and leave an auditable trail---and use it to study a question no prior benchmark addresses: does decomposing an agent into components degrade its governance? It does, and the mechanism is specific. Policy-relevant facts discovered by one component are attenuated at the handoff boundary before r

Key takeaways

  • arXiv:2608.16055v1 Announce Type: new Abstract: Existing agent benchmarks ask whether the agent finished the task.
  • We ask whether it finished it within policy.
  • We introduce Fiducia-bench, a benchmark for the governability of financial agents---whether they escalate when obligated, abstain when required, and leave an auditable trail---and use it to study a question no prior benchmark addresses: does decomposing an agent into components degrade its governance?

Why it matters

The significance is not only the legal text but how it changes product design. Decisions around “Governance at the Boundary: How Agent Decomposition Degrades Policy Compliance” may reshape data collection, model training, output accountability and market access.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗