Governing Actions, Not Agents: Institutional Attestation as a Governance Model for Autonomous AI Systems
arXiv:2606.26298v1 Announce Type: new Abstract: Autonomous AI agents may begin to perform consequential, irreversible actions such as clinical prescribing and production software deployment. This paper observes that human institutions have governed powerful autonomous actors not by monitoring their reasoning but by requiring independently attested evidence at the point of consequential action. We formalise this institutional pattern as a computational governance model for AI agent systems. Under the proposed model, an agent retains full autonomy over planning and reasoning but holds no executi
The proliferation of advanced AI agents capable of autonomous action necessitates a robust governance framework to ensure safety and accountability as their capabilities increase.
This paper proposes a critical new model for governing AI agents, focusing on attestation at the point of action rather than attempting to control internal reasoning, which is essential for ensuring responsible AI deployment.
The proposed 'governing actions, not agents' model shifts the paradigm for AI governance, prioritizing verifiable evidence for consequential actions over opaque internal processes, thus enabling safer integration of autonomous AI.
- · AI developers focused on verifiable outcomes
- · Regulatory bodies and compliance solutions providers
- · High-stakes industries adopting AI (e.g., healthcare, finance)
- · AI assurance and auditing firms
- · AI developers prioritizing black-box autonomy
- · Systems unable to provide auditable attestations
- · Industries with low transparency in AI operations
This framework could become a standard for certifying the safety and reliability of autonomous AI systems across various sectors.
It may drive the development of new AI architectures and tools designed explicitly for attestation, increasing the transparency and auditability of AI agents.
Pervasive adoption could lead to the establishment of new regulatory bodies or industry consortia specifically to manage and audit AI attestations, fostering a more trusted AI ecosystem.
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Read at arXiv cs.AI