Abstract In the future, administrative agencies will rely increasingly on digital automation powered by machine learning algorithms. Can U.S. administrative law accommodate such a future? Not only might a highly automated state readily meet long-standing administrative law principles, but the responsible use of machine learning algorithms might perform even better than the status quo in terms of fulfilling administrative law's core values of expert decision-making and democratic accountability. Algorithmic governance clearly promises more accurate, data-driven decisions. Moreover, due to their mathematical properties, algorithms might well prove to be more faithful agents of democratic institutions. Yet even if an automated state were smarter and more accountable, it might risk being less empathic. Although the degree of empathy in existing human-driven bureaucracies should not be overstated, a large-scale shift to government by algorithm will pose a new challenge for administrative law: ensuring that an automated state is also an empathic one.

中文翻译：

---

自动化状态下的行政法

摘要 未来，行政机构将越来越依赖由机器学习算法驱动的数字自动化。美国行政法能否适应这样的未来？一个高度自动化的国家不仅可以轻松满足长期存在的行政法原则，而且在履行行政法专家决策和民主问责制的核心价值观方面，负责任地使用机器学习算法可能比现状表现得更好。算法治理显然承诺更准确、数据驱动的决策。此外，由于它们的数学特性，算法很可能被证明是民主制度更忠实的代理人。然而，即使自动化状态更聪明、更负责任，它也可能面临缺乏同理心的风险。