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 failexposing 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.

Provides a critical analysis of algorithmic governance in security and criminal justice Analyzes the social, political, and ethical impacts of facial recognition and biometric technologies Combines insights from Critical Security Studies, STS, and feminist critiques for a multidimensional perspective

Autorentext

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.

Inhalt

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.