Download full text
(1.511Mb)
Citation Suggestion
Please use the following Persistent Identifier (PID) to cite this document:
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-69004-6
Exports for your reference manager
Machine Learning-powered Artificial Intelligence in Arms Control
[working paper]
Corporate Editor
Hessische Stiftung Friedens- und Konfliktforschung
Abstract Artificial intelligence (AI), especially AI driven by machine learning, is on everyone’s lips. Even in armaments such systems are playing an increasingly important role: Some weapons systems are already able to identify targets independently and engage in combat with them. This poses problems for tr... view more
Artificial intelligence (AI), especially AI driven by machine learning, is on everyone’s lips. Even in armaments such systems are playing an increasingly important role: Some weapons systems are already able to identify targets independently and engage in combat with them. This poses problems for traditional forms of arms control originally designed to monitor physical objects such as mines and small arms and their internal function. In addition, important additional effects of reliable control such as confidence- building and stabilization of diplomatic relations are not addressed. It is important for arms control to address such risks as well. At the same time, the deployment of Machine Learning-powered Artificial Intelligence (MLpAI) as a tool offers tremendous potential for improving arms control processes. Here, more precise and comprehensive data processing can engender more trust between states in particular. This tension between the risks and the opportunities connected with the use of MLpAI in arms control is highlighted in this report.... view less
Keywords
artificial intelligence; arms control; weapon; confidence; stabilization; diplomacy; data processing; international relations; security policy
Classification
Peace and Conflict Research, International Conflicts, Security Policy
International Relations, International Politics, Foreign Affairs, Development Policy
Document language
English
Publication Year
2019
City
Frankfurt am Main
Page/Pages
31 p.
Series
PRIF Reports, 8
ISBN
978-3-946459-51-4
Status
Published Version; reviewed