全球大数据时代的 policing 和 intelligence:知识的政治与伦理的新全球视角(第二卷)
This volume, the second of a two volume set, offers a rich and unique collection of global perspectives on data-driven predictive technologies and the expansion and use of surveillance apparatuses in policing and intelligence, both public and private. Volume II delves into the epistemologies of data, into the imaginaries of accuracy, and fantasies of technosolutionism, utilizing empirical case studies to interrogate the use of data in policing, while raising questions pertaining to governance, ethics and knowledge construction. The chapters span from exploring the construction of clean and dirty data in private and public policing in South Africa, discussions about facial recognition and technopolitics in Brazil, the construction of intelligence and organizational learning in Norwegian police ethics and broader questions of transparency, data quality, and trust in data-driven policing, to the very topical issues of policing of generative AI and the ways in which both authoritarian and liberal democracies, such as China and India, use biopolitics to turn social welfare into surveillance. Academics and students of criminology, social anthropology, critical algorithm studies, critical sociology, and regional studies, will find this timely volume of interest.
这本为两卷集中的第二卷提供了丰富且独特的全球视角,探讨了数据驱动的预测技术以及在执法和情报领域公共与私人监控装置的扩张与使用。第二卷深入探究了数据的知识观、准确性的想象以及技术乐观主义的幻想,通过实证案例研究来质疑数据在执法中的应用,并就治理、伦理及知识构建等方面提出问题。章节内容涵盖了从南非私人和公权力机构中清洁数据和脏数据构建的研究讨论,到巴西面部识别和技术政治的问题探讨,挪威警察伦理中情报建设和组织学习的构建,再到数据驱动执法中透明度、数据质量与信任度的广泛问题,以及对生成式AI执法的关注。卷还涉及了中国和印度等 authoritarian 和 liberal democracies 通过生物政治将社会福利转变为监控的方式。犯罪学、社会人类学、批判算法研究、批判社会学及区域研究领域的学者与学生会发现此及时卷具有浓厚兴趣。
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