October 27, 2017
The United States Can Be a World Leader in AI. Here's How.
The artificial intelligence (AI) revolution is upon us. Artificial general intelligence—machines that could perform the full range of intellectual tasks better than humans—are still far off. But narrow AIs built to do specific tasks better than humans are proliferating. We interact with them daily, whether in the form of smartphone apps, self-driving cars or drones. Nations are already jostling for advantage. As Russian President Vladimir Putin said last month, “Whoever becomes the leader in [AI] will become the ruler of the world.” Some are more cautious. SpaceX and Tesla CEO Elon Musk tweeted a response to Putin: “Competition for AI superiority at national level [is the] most likely cause of WW3.”
The United States must grapple with how best to take advantage of this new industrial revolution. This isn’t just a question about how to harness AI’s full potential. It’s also a question about how to mitigate the risks posed by AI proliferation at home and abroad.
Read the full op-ed in The National Interest.
More from CNAS
-
Technology & National Security
The Sovereignty Gap in U.S. AI StatecraftThis article was originally published in Lawfare. As the India AI Impact Summit kicks off this week, the Trump administration has embraced the language of “sovereign AI.” Thro...
By Pablo Chavez
-
Technology & National Security
America’s Key to Biotechnology Leadership? AI-Ready Biodata.This article was originally published in Just Security. From strengthening armor for U.S. warfighters to patching supply chain vulnerabilities, the convergence of AI and biote...
By Sam Howell & Michelle Holko
-
Technology & National Security
The Rise of the Answer MachinesThis article was originally published in Financial Times. Every spring, I take red-eyes from Austin, Texas, to Oxford, England, to teach a graduate seminar on AI and philosoph...
By Brendan McCord
-
Technology & National Security
Selling H200s to China Erodes Main U.S. AdvantageA new report says China could buy twice as much AI computing power as it can produce domestically if Nvidia H200 chips are allowed there. Janet Egan from the Center for a New ...
By Janet Egan