吴世樱:人工智能如何助力刑事司法:益处与隐患
[7]. Oswald, M. (2018). Algorithm-assisted decision-making in the public sector: framing the issues using administrative law rules governing discretionary power. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 376(2128), 20170359. https://doi.org/10.1098/rsta.2017.0359.
[8]. Marchant, R (2018) Bayesian techniques for modelling and decision-making in criminology and social sciences. Presentation at the conference ‘Automated Justice: Algorithms, Big Data and Criminal Justice Systems’, Collegium Helveticum, Zürich, 20 April. https://collegium.ethz.ch/wp-content/uploads/2018/01/180420_automated_justice.pdf.
[9]. 周济、牛站奎:《人工智能在城市公共安全领域的应用及发展研究》,载《城市蓝皮书:中国城市发展报告No.13大国治理之城市安全》2020年11月, http://www.gzpeace.gov.cn/info/1515/22360.htm。
[10]. 周尚君,伍茜:《人工智能司法决策的可能与限度》,载《华东政法大学学报》2019年第1期,http://www.iolaw.org.cn/showNews.aspx?id=69983。
[11]. 刘宪权、林雨佳:《人工智能时代技术风险的刑法应对》,载《华东政法大学学报》2018年第5期,http://www.iolaw.org.cn/showNews.aspx?id=68399。
[12]. Gillula, J., & Lacambra, S. (2018, December 22). Recidivism Risk Assessments Won't Fix the Criminal Justice System. Electronic Frontier Foundation. https://www.eff.org/deeplinks/2018/12/recidivism-risk-assessments-wont-fix-criminal-justice-system.


爱思想关键词小程序