June 19, 2023
AI’s Gatekeepers Aren’t Prepared for What’s Coming
New technologies can change the global balance of power. Nuclear weapons divided the world into haves and have-nots. The Industrial Revolution allowed Europe to race ahead in economic and military power, spurring a wave of colonial expansion. A central question in the artificial intelligence revolution is who will benefit: Who will be able to access this powerful new technology, and who will be left behind?
What is clear is that current state-of-the-art AI models are not safe and no one knows how to reliably make them safe.
Until recently, AI has been a diffuse technology that rapidly proliferates. Open-source AI models are readily available online. The recent shift to large models, such as OpenAI’s ChatGPT, is concentrating power in the hands of large tech companies that can afford the computing hardware needed to train these systems. The balance of global AI power will hinge on whether AI concentrates power in the hands of a few actors, as nuclear weapons did, or proliferates widely, as smartphones have.
Read the full article from Foreign Policy.
More from CNAS
-
Technology & National Security
CNAS Insights | American AI Exports Need a Sovereignty SolutionEarlier this month, the Department of Commerce opened applications for the American AI Exports Program, an ambitious effort to deploy American AI technology, tools, and infras...
By Ruby Scanlon & Vivek Chilukuri
-
Technology & National Security
How the Pentagon Can Manage the Risks of AI WarfareTo use AI effectively, militaries will need to not only harness the promise of AI but also grapple with its limitations and risks....
By Paul Scharre
-
Technology & National Security
Dutch Export Controls Don’t Go Far Enough on ChinaControlling the machines that make chips matters more than controlling any specific chip....
By Michelle Nie
-
Technology & National Security
China’s AI Is Spreading Fast. Here’s How to Stop the Security RisksThe first problem is not about China, but about AI as a technology: It is incredibly difficult to audit the global supply chain for AI software....
By Ryan Fedasiuk
