Administrative Law in the Automated State

被引:24
作者
Coglianese, Cary [1 ,2 ,3 ]
机构
[1] Univ Penn, Law, Philadelphia, PA 19104 USA
[2] Univ Penn, Polit Sci, Philadelphia, PA 19104 USA
[3] Univ Penn, Penn Program Regulat, Philadelphia, PA 19104 USA
关键词
D O I
10.1162/DAED_a_01862
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
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 longstanding 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.
引用
收藏
页码:104 / 120
页数:17
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