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Armament, arms control and artificial intelligencethe Janus-faced nature of machine learning in the military realm /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Armament, arms control and artificial intelligenceedited by Thomas Reinhold, Niklas Schornig.
其他題名:	the Janus-faced nature of machine learning in the military realm /
其他作者:	Reinhold, Thomas.
出版者:	Cham :Springer International Publishing :2022.
面頁冊數:	xvii, 226 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Military weapons.
電子資源:	https://doi.org/10.1007/978-3-031-11043-6
ISBN:	9783031110436$q(electronic bk.)

Armament, arms control and artificial intelligencethe Janus-faced nature of machine learning in the military realm /
Armament, arms control and artificial intelligencethe Janus-faced nature of machine learning in the military realm /[electronic resource] :edited by Thomas Reinhold, Niklas Schornig. - Cham :Springer International Publishing :2022. - xvii, 226 p. :ill., digital ;24 cm. - Studies in peace and security,2730-9819. - Studies in peace and security..

Chapter 1. Introduction -- Chapter 2. Introduction Into Artificial Intelligence and Machine Learning -- Chapter 3. The Military Rationale for AI -- Chapter 4. Military AI Applications: A Cross-country Comparison of Emerging Capabilities -- Chapter 5. Artificial Intelligence as an Arms Control Tool: Opportunities and Challenges -- Chapter 6. Verifying the Prohibition of Chemical Weapons in a Digitalized World -- Chapter 7. AI and Biological Weapons -- Chapter 8. Doomsday Machines? Nukes, Nuclear Verification and Artificial Intelligence -- Chapter 9. AI, WMD and Arms Control III: The Case of Nuclear Testing -- Chapter 10. Artificial Intelligence in Conventional Arms Control and Military Confidence-building -- Chapter 11. Cyber Weapons and Artificial Intelligence - Impact, Influence and the Challenges for Arms Control -- Chapter 12. Armament, Arms Control and Artificial Intelligence: the Impact of Software, Machine Learning and Artificial Intelligence on Armament and Arms Control -- Chapter 13. No, Not That Verification: Challenges Posed by Testing, Evaluation, Validation and Verification of Artificial Intelligence in Weapon Systems -- Chapter 14. Applying Export Controls to AI: Current Coverage and Potential Future Controls -- Chapter 15. Arms Control for Artificial Intelligence.

Looking at a variety of armament sectors, the book examines how Artificial Intelligence (AI) impacts the fields of armament and arms control, how existing arms control measures will be affected by AI, and what new approaches based on AI have been or are currently developed. The significant increase in computing power, the increasing reliance on software, and the advent of (narrow) AI and deep-learning algorithms all have the potential to lead to disruptive changes for military operations and warfare, rendering many classical arms control instruments less effective, or even useless. On the other hand, AI might lead to completely new arms control approaches, raising the effectiveness and reliability of new verification measures. To provide a common understanding, the book starts by presenting a general introduction to the state of the art in artificial intelligence and arms control, and how the two topics are interrelated. The second part of the book looks at examples from various fields of weapon technology, including weapons of mass destruction (WMD), conventional armament, and emerging technologies. The final section offers a cross-cutting perspective based on the examples presented in the second part. This volume will appeal to students and scholars of international relations, as well as policy-makers and practitioners interested in a better understanding of peace and security studies in general, and armament and arms control in particular with a strong focus on AI.

ISBN: 9783031110436$q(electronic bk.)

Standard No.: 10.1007/978-3-031-11043-6doiSubjects--Topical Terms:

803625
Military weapons.

LC Class. No.: UF530

Dewey Class. No.: 355.8209

Armament, arms control and artificial intelligencethe Janus-faced nature of machine learning in the military realm /
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245 0 0 $a Armament, arms control and artificial intelligence $h [electronic resource] : $b the Janus-faced nature of machine learning in the military realm / $c edited by Thomas Reinhold, Niklas Schornig.
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505 0 $a Chapter 1. Introduction -- Chapter 2. Introduction Into Artificial Intelligence and Machine Learning -- Chapter 3. The Military Rationale for AI -- Chapter 4. Military AI Applications: A Cross-country Comparison of Emerging Capabilities -- Chapter 5. Artificial Intelligence as an Arms Control Tool: Opportunities and Challenges -- Chapter 6. Verifying the Prohibition of Chemical Weapons in a Digitalized World -- Chapter 7. AI and Biological Weapons -- Chapter 8. Doomsday Machines? Nukes, Nuclear Verification and Artificial Intelligence -- Chapter 9. AI, WMD and Arms Control III: The Case of Nuclear Testing -- Chapter 10. Artificial Intelligence in Conventional Arms Control and Military Confidence-building -- Chapter 11. Cyber Weapons and Artificial Intelligence - Impact, Influence and the Challenges for Arms Control -- Chapter 12. Armament, Arms Control and Artificial Intelligence: the Impact of Software, Machine Learning and Artificial Intelligence on Armament and Arms Control -- Chapter 13. No, Not That Verification: Challenges Posed by Testing, Evaluation, Validation and Verification of Artificial Intelligence in Weapon Systems -- Chapter 14. Applying Export Controls to AI: Current Coverage and Potential Future Controls -- Chapter 15. Arms Control for Artificial Intelligence.
520 $a Looking at a variety of armament sectors, the book examines how Artificial Intelligence (AI) impacts the fields of armament and arms control, how existing arms control measures will be affected by AI, and what new approaches based on AI have been or are currently developed. The significant increase in computing power, the increasing reliance on software, and the advent of (narrow) AI and deep-learning algorithms all have the potential to lead to disruptive changes for military operations and warfare, rendering many classical arms control instruments less effective, or even useless. On the other hand, AI might lead to completely new arms control approaches, raising the effectiveness and reliability of new verification measures. To provide a common understanding, the book starts by presenting a general introduction to the state of the art in artificial intelligence and arms control, and how the two topics are interrelated. The second part of the book looks at examples from various fields of weapon technology, including weapons of mass destruction (WMD), conventional armament, and emerging technologies. The final section offers a cross-cutting perspective based on the examples presented in the second part. This volume will appeal to students and scholars of international relations, as well as policy-makers and practitioners interested in a better understanding of peace and security studies in general, and armament and arms control in particular with a strong focus on AI.
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