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- Title
The death of law? Computationally personalized norms and the rule of law.
- Authors
Endicott, Timothy; Yeung, Karen
- Abstract
The emergent power of big data analytics makes it possible to replace impersonal general legal rules with personalized, particular norms. We consider arguments that such a move would be generally beneficial, replacing crude, general laws with more efficiently targeted ways of meeting public policy goals and satisfying personal preferences. Those proposals pose a radical, new challenge to the rule of law. Data-driven legal personalization offers some benefits that are worth pursuing, but we argue that the benefits can only legitimately be pursued where doing so is consistent with the agency that the law ought to accord to individuals and with the agency that the law ought to accord to public bodies. The principle of public agency is a prerequisite for the rule of law. The principle of private agency depends on the rule of law. Each is incompatible with the unrestrained computational personalization of law.
- Subjects
RULE of law; INDIVIDUALS' preferences; SOCIAL norms; GOVERNMENT policy; PUBLIC law; MACHINE learning; BIG data
- Publication
University of Toronto Law Journal, 2022, Vol 72, Issue 4, p373
- ISSN
0042-0220
- Publication type
Article
- DOI
10.3138/utlj-2021-0011