Paper Number

1042

Paper Type

CRP

Abstract

This paper explores the attitudes of German judges towards the use of artificial intelligence (AI) systems for supporting their professional tasks. We conducted interviews with 20 judges to explore tasks that could potentially be automated and to assess their willingness to use specific AI systems designed for mass proceedings, risk assessment, and sentencing. The study used technology acceptance models as a theoretical basis, particularly the Unified Theory of Acceptance and Use of Technology. The findings reveal that judges identify time-consuming routine activities suitable for automation, such as issuing orders and assessing eligibility for legal aid. AI systems are generally accepted in mass proceedings, while the use of risk assessment algorithms remains controversial. Sentencing databases for researching comparable cases are mostly positively received. The study contributes to understanding AI in the judiciary and highlights the need for continuous research to ensure responsible development and integration of AI within the justice system.

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Jun 14th, 12:00 AM

AI Systems in the Judiciary: Amicus Curiae? Interviews with Judges on Acceptance and Potential Use of Intelligent Algorithms

This paper explores the attitudes of German judges towards the use of artificial intelligence (AI) systems for supporting their professional tasks. We conducted interviews with 20 judges to explore tasks that could potentially be automated and to assess their willingness to use specific AI systems designed for mass proceedings, risk assessment, and sentencing. The study used technology acceptance models as a theoretical basis, particularly the Unified Theory of Acceptance and Use of Technology. The findings reveal that judges identify time-consuming routine activities suitable for automation, such as issuing orders and assessing eligibility for legal aid. AI systems are generally accepted in mass proceedings, while the use of risk assessment algorithms remains controversial. Sentencing databases for researching comparable cases are mostly positively received. The study contributes to understanding AI in the judiciary and highlights the need for continuous research to ensure responsible development and integration of AI within the justice system.

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