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Better justice through better scienc...
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Lima, Thallita G. L.
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Better justice through better science-technology? = the entanglements of algorithms and security and legal professionals /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Better justice through better science-technology?/ by Thallita G. L. Lima.
其他題名:
the entanglements of algorithms and security and legal professionals /
作者:
Lima, Thallita G. L.
出版者:
Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:
xviii, 252 p. :ill., digital ;24 cm.
內容註:
Chapter 1: Introduction -- Chapter 2: Blurring chance and certainty through probability and correlations: machine learning algorithms as security solutions -- Chapter 3: From 'bio' to 'metrics': how do machine learning algorithms and bio-metric data produce reliable evidence? -- Chapter 4. Clearview AI: "Building a secure world one face at a time" -- Chapter 5: What algorithmic evidence makes possible: face recognition errors and failures in "practice" -- Chapter 6. Taking the entanglements of algorithms and security and legal professionals seriously.
Contained By:
Springer Nature eBook
標題:
Computer security - Law and legislation. -
電子資源:
https://doi.org/10.1007/978-3-032-05954-3
ISBN:
9783032059543
Better justice through better science-technology? = the entanglements of algorithms and security and legal professionals /
Lima, Thallita G. L.
Better justice through better science-technology?
the entanglements of algorithms and security and legal professionals /[electronic resource] :by Thallita G. L. Lima. - Cham :Springer Nature Switzerland :2025. - xviii, 252 p. :ill., digital ;24 cm. - Global political sociology,2946-5567. - Global political sociology..
Chapter 1: Introduction -- Chapter 2: Blurring chance and certainty through probability and correlations: machine learning algorithms as security solutions -- Chapter 3: From 'bio' to 'metrics': how do machine learning algorithms and bio-metric data produce reliable evidence? -- Chapter 4. Clearview AI: "Building a secure world one face at a time" -- Chapter 5: What algorithmic evidence makes possible: face recognition errors and failures in "practice" -- Chapter 6. Taking the entanglements of algorithms and security and legal professionals seriously.
This book examines how algorithms are reshaping security and criminal justice, revealing their profound social and political implications. From intelligence agencies and police forces to courtrooms, tools like facial recognition are redefining how security is imagined and enacted worldwide. Yet, alongside promises of efficiency and objectivity, these systems frequently fail-exposing tensions around their epistemic authority and legitimacy. Focusing on biometric data and cases like Clearview AI in the United States, the book unpacks the entanglements between security professionals, legal actors, and algorithmic systems, showing how these technologies gain stability even amid errors and disputes. Drawing on Critical Security Studies, Science and Technology Studies, and feminist critiques of technoscience, it offers a multidimensional analysis of "algorithmic reason," its narratives of "better justice" or "enhanced security," and the ethical and political challenges they generate. A vital resource for scholars, practitioners, policymakers, and anyone concerned with the societal impacts of emerging technologies. Thallita G. L. Lima is a professor at the Federal Rural University of Rio de Janeiro and Research Coordinator at the Center for Studies on Security and Citizenship (CESeC). She holds a PhD and Master's in International Relations from PUC-Rio, focusing on critical security, algorithmic governance, and security technologies.
ISBN: 9783032059543
Standard No.: 10.1007/978-3-032-05954-3doiSubjects--Topical Terms:
845952
Computer security
--Law and legislation.
LC Class. No.: K564.C6
Dewey Class. No.: 347
Better justice through better science-technology? = the entanglements of algorithms and security and legal professionals /
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Chapter 1: Introduction -- Chapter 2: Blurring chance and certainty through probability and correlations: machine learning algorithms as security solutions -- Chapter 3: From 'bio' to 'metrics': how do machine learning algorithms and bio-metric data produce reliable evidence? -- Chapter 4. Clearview AI: "Building a secure world one face at a time" -- Chapter 5: What algorithmic evidence makes possible: face recognition errors and failures in "practice" -- Chapter 6. Taking the entanglements of algorithms and security and legal professionals seriously.
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