(何时)应该将AI治理委托于AI?——来自行政法的一些启示
摘要
先进的AI系统正在被用于AI治理。随着AI技术的改进和治理难度的增加,实践者可能会不断将更多任务委托给它们。然而,将AI用于治理可能带来严重风险,因为人类实践者可能无法理解AI的决策,或判断其是否符合用户利益。委托还可能削弱治理的合法性。本文 begins to develop a principled framework for when to delegate AI governance to AIs and when (and how) to maintain human participation. Administrative law, which governs agencies that are (1) more expert in their domains than the legislatures that create them and the courts that oversee them and (2) potentially misaligned to their original goals, offers useful lessons. Administrative law doctrine provides examples of clear, articulated rules for when delegation can occur, what delegation can consist of, and what processes can keep agencies aligned even as they are empowered to achieve their goals. The lessons of administrative law provide a foundation for how AI governance can use AI in a safe, accountable, and effective way.
引用
@article{arxiv.2509.22717,
title = {(When) Should We Delegate AI Governance to AIs? Some Lessons from Administrative Law},
author = {Nicholas Caputo},
journal= {arXiv preprint arXiv:2509.22717},
year = {2025}
}
备注
4 pages, Regulatable ML Workshop at NeurIPS '25