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...

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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
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Online Access:View this record in EBSCOhost
Description
Summary: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.