Monographie
Artificial intelligence for global counter-terrorism : utilizing deep learning and innovative strategies / Christian Kaunert, Bhupinder Singh, Rhishikesh Dave,... [et al.], editors
Type de contenu
- Texte
Type de médiation
- sans médiation
Type de support
- Volume
Titre(s)
- Artificial intelligence for global counter-terrorism : utilizing deep learning and innovative strategies / Christian Kaunert, Bhupinder Singh, Rhishikesh Dave,... [et al.], editors
Auteur(s)
Autre(s) auteur(s)
Publication
- Cham : Springer
Date de copyright
- C 2025
Description matérielle
- 1 volume (VIII-235 pages) : illustrations, graphiques ; 24 cm
Collection
- Contributions to security and defence studies
ISBN
- 978-3-0319-9234-6
- 3-031-99234-2
EAN
- 9783031992346 relié
Appartient à la collection
- Contributions to security and defence studies (Print) 2948-2283
Classification décimale Dewey
- 327.117
Note sur la responsabilité
- Autres contributeurs : Sally Lukose, Anjali Raghav (coéditeurs scientifiques)
Note sur les bibliographies et les index
- Bibliographie en fin de chapitres
Note sur le contenu
- Chapter 1. Artificial Intelligence and Drone Technology in Counterterrorism Chapter 2. AI Applications in Global Counterterrorism Efforts: Challenges, Compliance and Regulatory Gaps Chapter 3. Ethical Considerations in AI Driven Counterterrorism Chapter 4. Evolving Role of Autonomous Systems in Counter-Terrorism Chapter 5. Impact Assessment of Artificial Intelligence (AI) on Human Rights and Privacy: Curbing Global Digital Terrorism with Legal Measures Chapter 6. Impact of AI on Human Rights and Privacy in Counterterrorism: Legal and Ethical Perspectives Chapter 7. Legal Implications of Using AI in Security Operations Chapter 8. Leveraging AI and Cybersecurity for Proactive Counterterrorism: Strategies, Risks and Future Trends Chapter 9. The Algorithmic Panopticon: Artificial Intelligence, Mass Surveillance and the Death of Privacy Chapter 10. The Role of AI in Enhancing Predictive Policing to Prevent Terrorism Chapter 11. Exploring Facial Recognition Technology in Counterterrorism: AI in Surveillance and Monitoring Chapter 12. AI-Driven Predictive Analytics for Threat Assessment
Résumé ou extrait
- The emergence of global terrorism has led to new, innovative artificial intelligence (AI) and deep learning techniques for effective counterterrorism. This book explores the transformative role of AI and deep learning in combating global terrorism, providing a comprehensive analysis of how these technologies can safeguard nations and societies. It presents strategies for utilizing AI and deep learning in intelligence gathering, predictive analysis, surveillance, and threat detection. The book examines the use of machine learning algorithms to analyze vast amounts of data, identifying patterns and trends to anticipate potential terrorist activities. It highlights how AI-powered systems enhance counterterrorism operations, real-time responses, and decision-making processes. Offering technical insights and practical applications, this book will appeal to students, researchers, and scholars of security studies, international relations, law, and political science, as well as to policymakers, and security professionals interested in a forward-thinking approach to combating terrorism in an interconnected world.
Sujet - Nom commun
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