September 12, 2018
The Algorithms of August
An artificial intelligence arms race is coming. It is unlikely to play out in the way that the mainstream media suggest, however: as a faceoff between the United States and China. That’s because AI differs from the technologies, such as nuclear weapons and battleships, that have been the subject of arms races in the past. After all, AI is software—not hardware.
Because AI is a general purpose technology—more like the combustion engine or electricity than a weapon—the competition to develop it will be broad, and the line between its civilian and military uses will be blurry. There will not be one exclusively military AI arms race. There will instead be many AI arms races, as countries (and, sometimes, violent nonstate actors) develop new algorithms or apply private sector algorithms to help them accomplish particular tasks.
In North America, the private sector invested some $15 billion to $23 billion in AI in 2016, according to a McKinsey Global Institute report. That’s more than 10 times what the U.S. government spent on unclassified AI programs that same year. The largest share came from companies such as Google and Microsoft, as well as a number of smaller private firms, not from government-funded defense research. This reverses the dynamic from the Cold War, when government investments led to private sector innovation and produced technologies such as GPS and the internet.
China says it already holds more than 20 percent of patents in the field and plans to build its AI sector to be worth $150 billion by 2030. But while Beijing and Washington are the current leaders in this race, they are not the only competitors. Countries around the world with advanced technology sectors, from Canada to France to Singapore, also have the potential to make great strides in AI (or build on lower-level advances made by others). While this diffusion means that many more countries will have a stake in the regulation of AI, it also means that many more governments will have incentives to go it on their own.
Read the Full Article at Foreign Policy
More from CNAS
-
Technology & National Security
CNAS Insights | U.S.-China AI Agreements Need Verification, Not TrustThe upcoming Trump-Xi summit is likely to disappoint the leaders of top AI labs that have recently called for urgent, coordinated pacing of frontier AI progress. While agreeme...
By Ruby Scanlon & Janet Egan
-
Technology & National Security
U.S. & China AI Competition Raises Questions About Risk and OversightThe United States and China are moving quickly to develop increasingly powerful artificial intelligence systems, and Lt. Gen. Jack Shanahan (Ret.), former director of the Pent...
By Lt. Gen. Jack Shanahan
-
Technology & National Security
The AGI MomentIntroduction The age of AI is upon us. What that means is not yet clear. As general-purpose AI capabilities continue to march toward human-level performance across a range of ...
By Paul Scharre
-
Technology & National Security
CNAS Insights | America Must Expand AI Export Controls Amid Talks with ChinaThe path forward is to lengthen the United States’ AI lead by expanding, not weakening, technology protections, starting with closing three priority gaps: remote access, adver...
By Michelle Nie & Daniel Remler