Better Justice Through Better Science-Technology?: The Entanglements of Algorithms and Security and Legal Professionals

Author:   Thallita G. L. Lima
Publisher:   Springer Nature Switzerland AG
ISBN:  

9783032059536


Pages:   252
Publication Date:   03 January 2026
Format:   Hardback
Availability:   Not yet available   Availability explained
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Better Justice Through Better Science-Technology?: The Entanglements of Algorithms and Security and Legal Professionals


Overview

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.

Full Product Details

Author:   Thallita G. L. Lima
Publisher:   Springer Nature Switzerland AG
Imprint:   Palgrave Macmillan
ISBN:  

9783032059536


ISBN 10:   3032059534
Pages:   252
Publication Date:   03 January 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

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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Author Information

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.

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