Law Enforcement and Corrections Commons^™

Proportionality, Constraint, And Culpability, Mitchell N. Berman

All Faculty Scholarship

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 …

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 …

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 …