Law Commons^™

Proportionality, Constraint, And Culpability, Mitchell N. Berman

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Philosophers of criminal punishment widely agree that criminal punishment should be “proportional” to the “seriousness” of the offense. But this apparent consensus is only superficial, masking significant dissensus below the surface. Proposed proportionality principles differ on several distinct dimensions, including: (1) regarding which offense or offender properties determine offense “seriousness” and thus constitute a proportionality relatum; (2) regarding whether punishment is objectionably disproportionate only when excessively severe, or also when excessively lenient; and (3) regarding whether the principle can deliver absolute (“cardinal”) judgments, or only comparative (“ordinal”) ones. This essay proposes that these differences cannot be successfully adjudicated, and one …

Blameworthiness, Desert, And Luck, Mitchell N. Berman

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Philosophers disagree about whether outcome luck can affect an agent’s “moral responsibility.” Focusing on responsibility’s “negative side,” some maintain, and others deny, that an action’s results bear constitutively on how “blameworthy” the actor is, and on how much blame or punishment they “deserve.” Crucially, both sides to the debate assume that an actor’s blameworthiness and negative desert are equally affected—or unaffected—by an action’s results. This article challenges that previously overlooked assumption, arguing that blameworthiness and desert are distinct moral notions that serve distinct normative functions: blameworthiness serves a liability function (removing a bar to otherwise impermissible treatments), whereas desert serves …

Keynote: How I Became A Family Policing Abolitionist, Dorothy E. Roberts

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This piece is a written version of Professor Dorothy Roberts' keynote speech at the Columbia Journal of Race and Law's 11th annual symposium, titled Strengthened Bonds: Abolishing the Child Welfare System and Re-Envisioning Child Well-Being.

How Criminal Code Drafting Form Can Restrain Prosecutorial And Legislative Excesses: Consolidated Offense Drafting, Paul H. Robinson, Matthew Kussmaul, Muhammad Sarahne

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Solving criminal justice problems typically requires the enactment of new rules or the modification of existing ones. But there are some serious problems that can best be solved simply by altering the way in which the existing rules are drafted rather than by altering their content. This is the case with two of the most serious problems in criminal justice today: the problem of overlapping criminal offenses that create excessive prosecutorial charging discretion and the problem of legislative inconsistency and irrationality in grading offenses.

After examining these two problems and demonstrating their serious effects in perverting criminal justice, the essay …

Police Quotas, Shaun Ossei-Owusu

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The American public is slowly recognizing the criminal justice system’s deep defects. Mounting visual evidence of police brutality and social protests are generating an appetite for something different. How to change this system is still an open question. People across the political spectrum vary in their conceptions of the pressing problems and how to solve them. Interestingly, there is one consequential and overlooked area of the criminal justice system where there is broad consensus: police quotas.

Police quotas are formal and informal measures that require police officers to issue a particular number of citations or make a certain number of …

Ai In Adjudication And Administration, Cary Coglianese, Lavi M. Ben Dor

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The use of artificial intelligence has expanded rapidly in recent years across many aspects of the economy. For federal, state, and local governments in the United States, interest in artificial intelligence has manifested in the use of a series of digital tools, including the occasional deployment of machine learning, to aid in the performance of a variety of governmental functions. In this paper, we canvas the current uses of such digital tools and machine-learning technologies by the judiciary and administrative agencies in the United States. Although we have yet to see fully automated decision-making find its way into either adjudication …

Administrative Law In The Automated State, Cary Coglianese

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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 …