RIAC at SIPRI and CICIR Conference on Mapping the Impact of Machine Learning and Autonomy on Strategic Stability and Nuclear Risk
Short version
On September 6-7, Beijing hosted a joint conference organized by Stockholm International Peace Research Institute (SIPRI) and China Institutes of Contemporary International Relations (CICIR) on Mapping the Impact of Machine Learning and Autonomy on Strategic Stability and Nuclear Risk.
Experts from Russia, China, the United States, France, Britain, Japan, South Korea, India, and Pakistan, attended the event to discuss the possible impact of machine learning technologies, autonomous systems, and artificial intelligence on the development of weapons and the possibility of their use in conflicts.
Full version
On September 6-7, Beijing hosted a joint conference organized by Stockholm International Peace Research Institute (SIPRI) and China Institutes of Contemporary International Relations (CICIR) on Mapping the Impact of Machine Learning and Autonomy on Strategic Stability and Nuclear Risk.
Experts from Russia, China, the United States, France, Britain, Japan, South Korea, India, and Pakistan, attended the event to discuss the possible impact of machine learning technologies, autonomous systems, and artificial intelligence on the development of weapons and the possibility of their use in conflicts.
As a result of the conference, joint recommendations were developed to reduce the risk of escalation of relations between nuclear powers and to prevent possible incidents involving new weapons. Nikolay Markotkin, RIAC Program Coordinator, Vasily Kashin, Senior Research Fellow at the Center of Strategic Problems of Northeast Asia, SCO and BRICS, Institute of Far Eastern Studies, RIAC Expert, and Vadim Kozyulin, Project Director at the PIR Center, RIAC Expert, represented RIAC at the event.