Artificial Justice.

The article focuses on the critical examination of statistical algorithms and their implications for justice, as discussed in the book "Artificial Justice." The author, Tatiana Dancy, explores the potential for algorithmic injustice, emphasizing the importance of relevance, equality, and the value o...

Full description

Bibliographic Details
Published in:Modern Law Review Vol. 88; no. 4; pp. 861 - 866
Main Author: Smuha, Nathalie A.
Format: Article
Published: Wiley-Blackwell Jul2025
Subjects:
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=186459181&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 186459181
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00267961
        D8H
      jtl: Modern Law Review
      issn: 00267961
      maglogo: Y
    pubinfo:
      dt: Jul2025
      vid: 88
      iid: 4
      pid: 480
      pub: Wiley-Blackwell
    artinfo:
      ui:
        186459181
        10.1111/1468-2230.12961
      ppf: 861
      ppct: 5
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 70KB
      tig:
        atl: Artificial Justice.
      aug:
        au: Smuha, Nathalie A.
      su:
        Job applications
        Artificial intelligence
        Criminal evidence
        Self-fulfilling prophecy
        Justice
      sug:
        subj:
          Job applications
          Artificial intelligence
          Criminal evidence
          Self-fulfilling prophecy
          Justice
      ab: The article focuses on the critical examination of statistical algorithms and their implications for justice, as discussed in the book "Artificial Justice." The author, Tatiana Dancy, explores the potential for algorithmic injustice, emphasizing the importance of relevance, equality, and the value of choice in decision-making processes influenced by these algorithms. Dancy argues that while statistical algorithms can enhance decision-making accuracy, they also risk perpetuating biases and undermining individual autonomy if not designed and implemented thoughtfully. The book advocates for transparency and the need for human oversight in algorithmic processes, while also challenging traditional views on these solutions.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      custom: Copyright of Modern Law Review is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use.
      item: Modern Law Review
      holder: Wiley-Blackwell
      dt:
        @attributes:
          year: 2025
    holdings:
      @attributes:
        islocal: N