{"title":"Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks","authors":"Jianhong Liu, Dianshi Moses Li","doi":"10.1007/s11417-024-09429-x","DOIUrl":null,"url":null,"abstract":"<div><p>The paper addresses some fundamental and hotly debated issues for high-stakes event predictions underpinning the computational approach to social sciences, especially in criminology and criminal justice. We question several prevalent views against machine learning and outline a new paradigm that highlights the promises and promotes the infusion of computational methods and conventional social science approaches.</p></div>","PeriodicalId":45526,"journal":{"name":"Asian Journal of Criminology","volume":"19 2","pages":"143 - 159"},"PeriodicalIF":1.4000,"publicationDate":"2024-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Criminology","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s11417-024-09429-x","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The paper addresses some fundamental and hotly debated issues for high-stakes event predictions underpinning the computational approach to social sciences, especially in criminology and criminal justice. We question several prevalent views against machine learning and outline a new paradigm that highlights the promises and promotes the infusion of computational methods and conventional social science approaches.
期刊介绍：
Electronic submission now possible! Please see the Instructions for Authors. For general information about this new journal please contact the publisher at [welmoed.spahr@springer.com] The Asian Journal of Criminology aims to advance the study of criminology and criminal justice in Asia, to promote evidence-based public policy in crime prevention, and to promote comparative studies about crime and criminal justice. The Journal provides a platform for criminologists, policymakers, and practitioners and welcomes manuscripts relating to crime, crime prevention, criminal law, medico-legal topics and the administration of criminal justice in Asian countries. The Journal especially encourages theoretical and methodological papers with an emphasis on evidence-based, empirical research addressing crime in Asian contexts. It seeks to publish research arising from a broad variety of methodological traditions, including quantitative, qualitative, historical, and comparative methods. The Journal fosters a multi-disciplinary focus and welcomes manuscripts from a variety of disciplines, including criminology, criminal justice, law, sociology, psychology, forensic science, social work, urban studies, history, and geography.
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