Overview
- Presents a systematic overview of the most relevant fields of armament and arms control
- Provides a comprehensive presentation for non-IT experts
- Discussed chances and risks of artificial intelligence in a balanced approach
Part of the book series: Studies in Peace and Security (SPS)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Front Matter
Keywords
- Military
- Machine learning and weapon systems
- AI-based technologies
- Nuclear, biological and chemical weapons
- Weapons of mass destruction
- Non-proliferation
- Weapon technology
- Deep-learning
- Pattern recognition
- Conventional weapons
- Cyber weapons
- Drones
- Lethal autonomous weapon systems
- Export controls
- Military rationale
- Peace
- Security
- Verification mechanisms
- Satellite images
- Aerial images
About this book
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.
Editors and Affiliations
About the editors
Niklas Schörnig is a senior researcher at the Peace Research Institute Frankfurt (PRIF) and head of the PRIF research group on Emerging Technology, Order and Stability (rETOS). His research focuses, inter alia, on current trends in warfare, military robotics, and arms control for emerging technologies. Schörnig holds a Ph.D. from Goethe University, Frankfurt am Main, Germany. In 2011/2012 he was a visiting professor for International Relations and Theories of Global World Order at Goethe University.
Bibliographic Information
Book Title: Armament, Arms Control and Artificial Intelligence
Book Subtitle: The Janus-faced Nature of Machine Learning in the Military Realm
Editors: Thomas Reinhold, Niklas Schörnig
Series Title: Studies in Peace and Security
DOI: https://doi.org/10.1007/978-3-031-11043-6
Publisher: Springer Cham
eBook Packages: Political Science and International Studies, Political Science and International Studies (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-031-11042-9Published: 09 October 2022
Softcover ISBN: 978-3-031-11045-0Published: 10 October 2023
eBook ISBN: 978-3-031-11043-6Published: 08 October 2022
Series ISSN: 2730-9800
Series E-ISSN: 2730-9819
Edition Number: 1
Number of Pages: XVII, 226
Number of Illustrations: 1 b/w illustrations
Topics: International Relations, Military and Defence Studies, Artificial Intelligence, International Security Studies