We argue that the phenomena of distributed responsibility, induced acceptance, and acceptance through ignorance constitute instances of imperfect delegation when tasks are delegated to computationally-driven systems. Imperfect delegation challenges human accountability. We hold that both direct public accountability via public transparency and indirect public accountability via transparency to auditors in public organizations can be both instrumentally ethically valuable and required as a matter of deontology from the principle of democratic self-government. We analyze the regulatory content of 16 guideline documents about the use of AI in the public sector, by mapping their requirements to those of our philosophical account of accountability, and conclude that while some guidelines refer to processes that amount to auditing, it seems that the debate would benefit from more clarity about the nature of the entitlement of auditors and the goals of auditing, also in order to develop ethically meaningful standards with respect to which different forms of auditing can be evaluated and compared.

中文翻译：

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在公共行政部门使用人工智能的责任制

我们认为，将任务委托给计算驱动的系统时，分布责任，诱导接受和通过无知接受的现象构成了不完全委托的实例。不完善的授权挑战了人类的责任感。我们认为，通过公共透明度进行的直接公共问责制和通过对公共组织的审计员进行透明化进行的间接公共问责制在道德上都具有工具上的价值，并且从民主自治的原则出发，作为道义论的要求。我们通过将16项指导性文件的要求映射到我们对问责制的哲学解释中的要求，分析了16项指导性文件中有关在公共部门中使用AI的法规内容，并得出结论，尽管某些指南涉及等同于审计的流程，