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Can AI become Reliable Source to Support Human Decision Making in a Court Scene?

Published:25 February 2017Publication History

ABSTRACT

Recently, advances in artificial intelligence (AI) have provided support to human decision-making, and there has been some controversy regarding whether AI can be used to support judges in court. This study investigates the influence of data that is presented by a robotic system on human judgment in a sentence estimation situation in court. The study includes an experiment in which participants played the role of a juror in a sentence estimation task. Participants were presented with scripts of the case, reference materials regarding similar cases, and sentences given by the expert robotic system and human, and then, determined an adequate sentence based on this information. Results show that participants interacting with the robotic system tend to agree with the presented material (in the same way as with human experts) when it is adequate. This result shows that robotic systems are treated the same way as humans, and that intelligent systems can be a reliable source of information for human decision-making in court. Moreover, the results show that robotic systems may, in some cases, be considered more trustworthy than humans.

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  1. Can AI become Reliable Source to Support Human Decision Making in a Court Scene?

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      cover image ACM Conferences
      CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
      February 2017
      472 pages
      ISBN:9781450346887
      DOI:10.1145/3022198

      Copyright © 2017 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 February 2017

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      CSCW '17 Companion Paper Acceptance Rate183of530submissions,35%Overall Acceptance Rate2,235of8,521submissions,26%

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