Understanding risk with FOTRES?

Author:

Räz Tim

Abstract

AbstractThe present paper examines the recidivism risk assessment instrument FOTRES, addressing the questions whether FOTRES provides us with an adequate understanding of risk, whether we actually understand FOTRES itself, and whether FOTRES is fair. The evaluation of FOTRES uses the criteria of empirical accuracy, representational accuracy, domain of validity, intelligibility, and fairness. This evaluation is compared to that of COMPAS, a different, much-discussed risk assessment instrument. The paper argues that FOTRES performs poorly in comparison to COMPAS with respect to some of the criteria, and that both FOTRES and COMPAS do not show a satisfactory performance with respect to other criteria.

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

University of Bern

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Reference59 articles.

1. Angelino, E., Larus-Stone, N., Alabi, D., Seltzer, M., Rudin, C.: Learning Certifiably Optimal Rule Lists. In KDD’17. Halifax, NS, Canada (2017)

2. Angwin, J., Larson, J., Mattu, S., Kirchner, L.: Machine bias: There’s software used across the country to predict future criminals. and it’s biased against blacks. ProPublica (2016)

3. Barocas, S., Hardt, M., Narayanan, A.: Fairness and Machine Learning. fairmlbook.org (2019)

4. Baumberger, C., Beisbart, C., Brun, G.: What is Understanding? An Overview of Recent Debates in Epistemology and Philosophy of Science. In S. G. C. Baumberger and S. Ammon, eds., Explaining Understanding: New Perspectives from Epistemolgy and Philosophy of Science. Routledge, pp. 1–34 (2017)

5. Berk, R.: Artificial Intelligence, Predictive Policing, and Risk Assessment for Law Enforcement. Annual Review of Criminology 4, 209–37 (2020)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. COMPAS: zu einer wegweisenden Debatte über algorithmische Risikobeurteilung;Forensische Psychiatrie, Psychologie, Kriminologie;2022-10-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3