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Counter-Terrorism, Ethics and Technology : Emerging Challenges at the Frontiers of Counter-Terrorism / / edited by Adam Henschke, Alastair Reed, Scott Robbins, Seumas Miller
Counter-Terrorism, Ethics and Technology : Emerging Challenges at the Frontiers of Counter-Terrorism / / edited by Adam Henschke, Alastair Reed, Scott Robbins, Seumas Miller
Autore Henschke Adam
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (231 pages)
Disciplina 327.117
363.325
Altri autori (Persone) ReedAlastair
RobbinsScott
MillerSeumas
Collana Advanced Sciences and Technologies for Security Applications
Soggetto topico Terrorism
Political violence
Ethics
Digital media
Social sciences
Humanities
Technology - Philosophy
Terrorism and Political Violence
Moral Philosophy and Applied Ethics
Digital and New Media
Humanities and Social Sciences
Philosophy of Technology
ISBN 9783030902216
3030902218
Classificazione PHI005000PHI021000POL037000SCI000000SOC052000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Drones As A Tool In Counter-Terrorism -- 2. Deception Strategies In Autonomous Warfare -- 3. Rethinking Drones As Terrorist Weapons -- 4. Proportionality, Surveillance And Counter-Terrorism -- 5. Privacy, Encryption And Counter-Terrorism -- 6. The Rise Of The Modern Intelligence State -- 7. Acceptability Of Bulk Facial Recognition for Counter-Terrorism: The Case For A Total Ban -- 8. “No cracks, no blind spots, no gaps”: Technologically-enabled “Preventive” Counterterrorism and Mass Repression in Xinjiang, China -- 9. Media Ecologies, On-Line Radicalisation And Bottom-Up CVE Approaches -- 10. The Ethics of Regulating Extremist Content Online -- 11. Terrorism And The Internet Of Things: Cyberterrorism Will Happen -- 12. Violent Non State Actors And The Technology Adoption Curve.
Record Nr. UNINA-9910513599803321
Henschke Adam  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recommender Systems: Legal and Ethical Issues / / edited by Sergio Genovesi, Katharina Kaesling, Scott Robbins
Recommender Systems: Legal and Ethical Issues / / edited by Sergio Genovesi, Katharina Kaesling, Scott Robbins
Autore Genovesi Sergio
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (220 pages)
Disciplina 174.96
Altri autori (Persone) KaeslingKatharina
RobbinsScott
Collana The International Library of Ethics, Law and Technology
Soggetto topico Technology - Moral and ethical aspects
Artificial intelligence
Ethics of Technology
Artificial Intelligence
ISBN 3-031-34804-4
Classificazione PHI005000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction: Understanding and Regulating Al-Powered Recommender systems -- Part I: Fairness and Transparency -- Chapter 2: Recommender Systems and Discrimination -- Chapter 3: From Algoritmic Transparency to Algorithmic Choice: European Perspectives on Recommender Systems and Platform Regulation -- Chapter 4: Black Hole instead of Black Box? - The Double Opaqueness of Recommender Systems on Gaming Platforms and its Legal Implications -- Chapter 5: Digital Labor as a Structural Fairness Issue in Recommender Systems -- Part II: Manipulation and Personal Autonomy -- Chapter 6: Recommender Systems, Manipulation and Private Autonomy - How European civil law regulates and should regulate recommender systems for the benefit of private autonomy -- Chapter 7: Reasoning with Recommender Systems? Practical Reasoning, Digital Nudging, and Autonomy -- Chapter 8: Recommending Ourselvesto Death: values in the age of algorithms -- Part III: Designing and Evaluating Recommender Systems -- Chapter 9: Ethical and Legal Analysis of Machine Learning Based Systems: A Scenario Analysis of a Food Recommender System -- Chapter 10: Factors influencing trust and use of recommendation AI: A case study of diet improvement AI in Japan -- Chapter 11: Ethics of E-Learning Recommender Systems: Epistemic Positioning and Ideological Orientation.
Record Nr. UNINA-9910735996703321
Genovesi Sergio  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui