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2022

Public Law and Legal Theory

Algorithmic decisionmaking

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Full-Text Articles in Law

Moving Toward Personalized Law, Cary Coglianese Mar 2022

Moving Toward Personalized Law, Cary Coglianese

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Rules operate as a tool of governance by making generalizations, thereby cutting down on government officials’ need to make individual determinations. But because they are generalizations, rules can result in inefficient or perverse outcomes due to their over- and under-inclusiveness. With the aid of advances in machine-learning algorithms, however, it is becoming increasingly possible to imagine governments shifting away from a predominant reliance on general rules and instead moving toward increased reliance on precise individual determinations—or on “personalized law,” to use the term Omri Ben-Shahar and Ariel Porat use in the title of their 2021 book. Among the various technological, …


Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai Jan 2022

Algorithm Vs. Algorithm, Cary Coglianese, Alicia Lai

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Critics raise alarm bells about governmental use of digital algorithms, charging that they are too complex, inscrutable, and prone to bias. A realistic assessment of digital algorithms, though, must acknowledge that government is already driven by algorithms of arguably greater complexity and potential for abuse: the algorithms implicit in human decision-making. The human brain operates algorithmically through complex neural networks. And when humans make collective decisions, they operate via algorithms too—those reflected in legislative, judicial, and administrative processes. Yet these human algorithms undeniably fail and are far from transparent. On an individual level, human decision-making suffers from memory limitations, fatigue, …


But What Is Personalized Law?, Sandra G. Mayson Jan 2022

But What Is Personalized Law?, Sandra G. Mayson

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In Personalized Law: Different Rules for Different People, Omri Ben-Shahar and Ariel Porat undertake to ground a burgeoning field of legal thought. The book imagines and thoughtfully assesses an array of personalized legal rules, including individualized speed limits, fines calibrated to income, and medical disclosure requirements responsive to individual health profiles. Throughout, though, the conceptual parameters of “personalized law” remain elusive. It is clear that personalized law involves more data, more machine-learning, and more direct communication to individuals. But it is not clear how deep these changes go. Are they incremental—just today’s law with better tech—or do they represent …