دورية أكاديمية

Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks.

التفاصيل البيبلوغرافية
العنوان: Is Machine Learning Really Unsafe and Irresponsible in Social Sciences? Paradoxes and Reconsideration from Recidivism Prediction Tasks.
المؤلفون: Liu, Jianhong, Li, Dianshi Moses
المصدر: Asian Journal of Criminology; Jun2024, Vol. 19 Issue 2, p143-159, 17p
مصطلحات موضوعية: MACHINE learning, PARADOX, RECIDIVISM, FORECASTING, ARTIFICIAL intelligence, PROMISES
مستخلص: 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. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:18710131
DOI:10.1007/s11417-024-09429-x