Sentencing as a human process? Human judges’ experiences of machine-based sentencing

Abstract Machine decision-making technologies, such as artificial intelligence, are increasingly gaining prominence in sentencing. While criminologists have expressed concerns about these technologies, the ways in which sentencing judges perceive such developments remain underexplored. Drawing on interviews with 24 Israeli district court judges, this study identifies two dominant themes shaping judicial attitudes toward machine-based sentencing (MBS). The first is held by techno-optimists who view sentencing as a normative reasoning process that could be amenable to automation, while the second is advocated by techno-pessimists who conceive sentencing as a phenomenological process that requires interpersonal-emotional engagement as well as moral deliberation, and therefore cannot be reduced to algorithmic analysis. The judicial imagination of MBS reveals the ways in which many judges resist the managerial, rational and bureaucratic logic that often underpins criminological visions of “robots judges.” They illuminate that the feasibility of MBS is deeply rooted in the ethical meaning of sentencing and judicial professional identity and legitimacy.

Authors

Publication Details

Journal
The British Journal of Criminology
Published
2025-12-19
DOI
https://doi.org/10.1093/bjc/azaf128
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Sentencing as a human process? Human judges’ experiences of machine-based sentencing

Shmuel Baron, Naomi Kaplan-Damary, Netanel Dagan
The British Journal of Criminology
Ethics and Social Impacts of AI
article

Sentencing as a human process? Human judges’ experiences of machine-based sentencing

Shmuel Baron, Naomi Kaplan-Damary, Netanel Dagan
article en

Abstract

Abstract Machine decision-making technologies, such as artificial intelligence, are increasingly gaining prominence in sentencing. While criminologists have expressed concerns about these technologies, the ways in which sentencing judges perceive such developments remain underexplored. Drawing on interviews with 24 Israeli district court judges, this study identifies two dominant themes shaping judicial attitudes toward machine-based sentencing (MBS). The first is held by techno-optimists who view sentencing as a normative reasoning process that could be amenable to automation, while the second is advocated by techno-pessimists who conceive sentencing as a phenomenological process that requires interpersonal-emotional engagement as well as moral deliberation, and therefore cannot be reduced to algorithmic analysis. The judicial imagination of MBS reveals the ways in which many judges resist the managerial, rational and bureaucratic logic that often underpins criminological visions of “robots judges.” They illuminate that the feasibility of MBS is deeply rooted in the ethical meaning of sentencing and judicial professional identity and legitimacy.

The British Journal of Criminology
Peace, Justice and strong institutions
Openalex Percentile: Top 17%
Ethics and Social Impacts of AI
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Sentencing as a human process? Human judges’ experiences of machine-based sentencing — Shmuel Baron, Naomi Kaplan-Damary, et al. · The British Journal of Criminology (2025) | TGRS Research Map | TGRS