75 years after Hiroshima and Nagasaki, some experts believe the risk of the use of a nuclear weapon is as high now as it has been since the Cuban missile crisis.
The big picture: Nuclear war remains the single greatest present threat to humanity — and one that is poised to grow as emerging technologies, like much faster missiles, cyber warfare and artificial intelligence, upset an already precarious nuclear balance.
What’s happening: A mix of shifting geopolitical tensions and technological change is upsetting a decades-long state of strategic stability around nuclear weapons.
- Strategic stability is when no country has an incentive to launch a first nuclear strike, knowing that doing so would inevitably lead to a catastrophic response. It’s the “mutual” in “mutually assured destruction.”
- Arms control deals like the Intermediate-Range Nuclear Forces Treaty are collapsing, while faster hypersonic missiles are shrinking the already brief minutes available to decide how and whether to respond to a potential nuclear attack, meaning “the possibilities of a miscalculation are unfortunately higher than they have been in a long, long time,” says former Energy Secretary Ernest Moniz.
- As concerning as rising tensions are between the U.S. and Russia, or between the U.S. and a more assertive China, experts worry even more about the destabilizing effect of emerging technologies like cyber warfare and AI.
- “The black box of AI in the future of war makes it almost inherently unpredictable,” says P.W. Singer, a strategist at New America and author of “Burn-In” — and unpredictability is anathema to a nuclear balance held in place by predictability.
Cyber warfare can directly increase the risk of nuclear conflict if it is used to disrupt command and control systems.
- But a greater danger may come from cyber conflict playing out in a space occupied by both military and civilian users, which risks eroding the bright line between nuclear and conventional war.
- The U.S. and Israel are widely understood to have targeted Iran’s nuclear program with the Stuxnet computer worm, hackers in Russia have probed U.S. nuclear plants and Chinese hackers have conducted cyber espionage on the U.S. military.
- U.S. policymakers have discussed whether to threaten a nuclear response to a wide-scale cyberattack on power infrastructure, which may serve as a deterrent, but also opens up a new and unpredictable escalation pathway to nuclear conflict.
AI is only in its infancy, but depending on how it develops, it could utterly disrupt the nuclear balance.
- Even in its nascent stages, AI is likely to make offensive cyberhacking of all kinds more effective, increasing the risk that a cyberconflict could turn nuclear.
- AI may eventually help war planners more effectively target an enemy’s nuclear weapons. That would make an opponent more vulnerable — and potentially more willing to use nuclear weapons first out of a fear they might lose them.
- As Singer notes, “just like any human, AI can suffer from various biases” — especially since there is no real-world nuclear war data to train it on.
- But unlike a human, the smarter AI gets, the harder it is for humans to understand how it works, and whether it’s making a mistake in a realm where there is no room for mistakes.
Be smart: As analysts from RAND wrote in a 2018 report, “AI may be strategically destabilizing not because it works too well but because it works just well enough to feed uncertainty.” Whether or not an AI system could provide a decisive advantage in a nuclear standoff, if either the system’s user or that country’s opponent believes it can do so, the result could be catastrophic.
- Yes, but: Singer also offers a more hopeful scenario where effective AI could reduce the risk of human miscalculation by “offering far greater information in scale and detail than was possible in the past.”
The bottom line: The riskiest period of the Cold War was its earliest stages, when military and political leaders didn’t yet fully understand the nature of what Hiroshima had demonstrated. Emerging technologies like AI threaten to plunge us back into that uncertainty.
Source: Axiois, August 5th, 2020