Media Coverage of Predictive Policing: Bias, Police Engagement, and the Future of Transparency

Author:

Camilleri Harry1ORCID,Ashurst Carolyn2ORCID,Jaisankar Nithya3ORCID,Weller Adrian4ORCID,Zilka Miri1ORCID

Affiliation:

1. University of Cambridge, United Kingdom

2. The Alan Turing Institute, United Kingdom

3. The University of Texas at Dallas, USA

4. University of Cambridge, United Kingdom and The Alan Turing Institute, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Leverhulme Trust

Publisher

ACM

Reference70 articles.

1. [ 1 ] Ada Lovelace Institute. [n. d.]. [1] Ada Lovelace Institute. [n. d.].

2. AI Now Institute Ada Lovelace Institute and Open Government Partnership. 2021. Algorithmic Accountability for the Public Sector.Available at: https://www.opengovpartnership.org/documents/ algorithmic-accountability-public-sector/. AI Now Institute Ada Lovelace Institute and Open Government Partnership. 2021. Algorithmic Accountability for the Public Sector.Available at: https://www.opengovpartnership.org/documents/ algorithmic-accountability-public-sector/.

3. Elish Angiolini . 2017. Report of the independent review of deaths and serious incidents in police custody . London : HM Government ( 2017 ). Elish Angiolini. 2017. Report of the independent review of deaths and serious incidents in police custody. London: HM Government (2017).

4. Julia Angwin , Jeff Larson , Surya Mattu , and Lauren Kirchner . 2016. Machine bias . In Ethics of Data and Analytics . Auerbach Publications , 254–264. Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016. Machine bias. In Ethics of Data and Analytics. Auerbach Publications, 254–264.

5. Boycott collaboration with police;Aougab Tarik;The Notices of the American Mathematical Society,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. Policy advice and best practices on bias and fairness in AI;Ethics and Information Technology;2024-04-29

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