{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T22:49:29Z","timestamp":1785192569856,"version":"3.55.0"},"reference-count":77,"publisher":"Emerald","issue":"4","license":[{"start":{"date-parts":[[2023,10,19]],"date-time":"2023-10-19T00:00:00Z","timestamp":1697673600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JICES"],"published-print":{"date-parts":[[2023,11,7]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>The purpose of this study is to examine public perceptions and attitudes toward using artificial intelligence (AI) in the US criminal justice system.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>The authors took a quantitative approach and administered an online survey using the Amazon Mechanical Turk platform. The instrument was developed by integrating prior literature to create multiple scales for measuring public perceptions and attitudes.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The findings suggest that despite the various attempts, there are still significant perceptions of sociodemographic bias in the criminal justice system and technology alone cannot alleviate them. However, AI can assist judges in making fairer and more objective decisions by using triangulation \u2013 offering additional data points to offset individual biases.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Social implications<\/jats:title>\n<jats:p>Other scholars can build upon the findings and extend the work to shed more light on some problems of growing concern for society \u2013 bias and inequality in criminal sentencing. AI can be a valuable tool to assist judges in the decision-making process by offering diverse viewpoints. Furthermore, the authors bridge the gap between the fields of technology and criminal justice and demonstrate how the two can be successfully integrated for the benefit of society.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>To the best of the authors\u2019 knowledge, this is among the first studies to examine a complex societal problem like the introduction of technology in a high-stakes environment \u2013 the US criminal justice system. Understanding how AI is perceived by society is necessary to develop more transparent and unbiased algorithms for assisting judges in making fair and equitable sentencing decisions. In addition, the authors developed and validated a new scale that can be used to further examine this novel approach to criminal sentencing in the future.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jices-11-2022-0101","type":"journal-article","created":{"date-parts":[[2023,10,18]],"date-time":"2023-10-18T00:36:56Z","timestamp":1697589416000},"page":"550-567","source":"Crossref","is-referenced-by-count":9,"title":["Investigating the role of artificial intelligence in the US criminal justice system"],"prefix":"10.1108","volume":"21","author":[{"given":"Ace","family":"Vo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miloslava","family":"Plachkinova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2023,10,19]]},"reference":[{"issue":"4","key":"key2023110609453317600_ref001","doi-asserted-by":"crossref","first-page":"789","DOI":"10.2307\/3053987","article-title":"Sentencing under the federal sentencing guidelines: effects of defendant characteristics, guilty pleas, and departures on sentence outcomes for drug offenses, 1991-1992","volume":"31","year":"1997","journal-title":"Law and Society Review"},{"issue":"3","key":"key2023110609453317600_ref002","doi-asserted-by":"crossref","first-page":"362","DOI":"10.1080\/07418820902936683","article-title":"Lawlessness in the federal sentencing process: a test for uniformity and consistency in sentence outcomes","volume":"27","year":"2010","journal-title":"Justice Quarterly"},{"issue":"1","key":"key2023110609453317600_ref003","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1080\/1478601X.2011.544390","article-title":"Need for triangulated methodologies in criminal justice and criminological research: exploring legal techniques as an additional method","volume":"24","year":"2011","journal-title":"Criminal Justice Studies"},{"issue":"S1","key":"key2023110609453317600_ref004","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1086\/467426","article-title":"Measuring interjudge sentencing disparity: before and after the federal sentencing guidelines","volume":"42","year":"1999","journal-title":"The Journal of Law and Economics"},{"issue":"3","key":"key2023110609453317600_ref005","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1007\/s00146-019-00931-w","article-title":"In AI we trust? 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