AKHGAR, Babak and BAYERL, Petra, eds. (2026). Accountability for Artificial Intelligence in Policing and Security. From Concept to Practical Deployment. Security Informatics and Law Enforcement . Cham, Springer. [Edited Book]
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Bayerl-AccountabilityForArtificialIntelligence(VoR).pdf - Published Version
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Bayerl-AccountabilityForArtificialIntelligence(VoR).pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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Abstract
This book provides a comprehensive and practice-oriented exploration of accountability for artificial intelligence (AI) in policing and security, offering both conceptual foundations and actionable guidance for responsible AI deployment. As law enforcement agencies increasingly adopt AI technologies to combat serious crimes such as terrorism, organized crime, and child sexual exploitation, the need for transparent, ethical, and accountable use becomes critical. This volume brings together leading experts to define AI accountability, outline its legal and societal mandates, and present best practices and tools for achieving accountability across AI design, governance, and organizational processes. Through detailed case studies and practical frameworks, the book equips practitioners, policymakers, and developers with the knowledge and resources to assess, evidence, and uphold accountability in AI systems used in policing and safety applications.
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