Dangers of Artificial Intelligence with Nuclear Weapons
COMMENTARY “……… A new generation of AI-augmented offensive cyber capabilities will likely exacerbate the military escalation risks associated with emerging technology, especially inadvertent and accidental escalation. Examples include the increasing vulnerability of nuclear command, control, and communication (NC3) systems to cyber attacks. Further, the challenges posed by remote sensing technology, autonomous vehicles, conventional precision munitions, and hypersonic weapons to hitherto concealed and hardened nuclear assets. Taken together, this trend might further erode the survivability of states’ nuclear forces.
AI, and the state-of-the-art capabilities it empowers, is a natural manifestation — not the cause or origin — of an established trend in emerging technology. the increasing speed of war, the shortening of the decision-making timeframe, and the co-mingling of nuclear and conventional capabilities are leading states to adopt destabilizing launch postures.
The AI-Cyber Security Intersection
New Risks to the Security of Nuclear Systems
Pathways to Escalation
Advances in AI could also exacerbate this cyber security challenge by enabling improvements to cyber offense. Machine learning and AI, by automating advanced persistent threat (or “hunting for weaknesses”) operations, might dramatically reduce the extensive manpower resources and high levels of technical skill required to execute advanced persistent threat operations, especially against hardened nuclear targets.
Information Warfare Could Lead to Escalation……….
Conclusion
Rapid advances in military-use AI and autonomy could amplify the speed, power, and scale of future attacks in cyberspace via several interconnected mechanisms — the ubiquitous connectivity between physical and digital information ecosystems; the creation of vast treasure troves of data and intelligence harvested via machine learning; the formation of powerful force multipliers for increasingly sophisticated, anonymous, and possibly multi-domain cyber attacks.
AI systems could have both positive and negative implications for cyber and nuclear security. On balance, however, several factors make this development particularly troublesome. These include the increasing attacks vectors which threaten states’ NC3 systems, a new generation of destabilizing, AI-empowered cyber offensive capabilities (deepfakes, spoofing, and automated advanced persistent threat tools), the blurring of AI-cyber offense-defense, uncertainties and strategic ambiguity about AI-augmented cyber capabilities, and not least, a competitive and contested geo-strategic environment.
At the moment, AI’s impact on nuclear security remains largely theoretical. Now is the time, therefore, for positive intervention to mitigate (or at least manage) the potential destabilizing and escalatory risks posed by AI and help steer it toward bolstering strategic stability as the technology matures.
The interaction between AI and cyber technology and nuclear command and control raises more questions than answers. What can we learn from the cyber community to help us use AI to preempt the risks posed by AI-enabled cyber attacks? And how might governments, defense communities, academia, and the private sector work together toward this end?
James Johnson is a Postdoctoral Research Fellow at the James Martin Center for Nonproliferation Studies at the Middlebury Institute of International Studies (MIIS), Monterey. His latest book project is entitled, Artificial Intelligence & the Future of Warfare: USA, China, and Strategic Stability. Twitter:@James_SJohnson
Eleanor Krabill is a Master of Arts in Nonproliferation and Terrorism candidate at Middlebury Institute of International Studies (MIIS), Monterey. Twitter: @EleanorKrabill https://warontherocks.com/2020/01/ai-cyberspace-and-nuclear-weapons/
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