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America’s Risky Approach to Artificial Intelligence

is a broad and vague set of scientific technologies that encompass not just recent trends in machine learning but also anything else designed to replicate or augment human cognition.

As it did with the internet research, the United States government should broadly fund basic research and insist on broad dissemination, with the exception of tools that might be dangerous.

The history of breakthroughs made by start-ups also suggests the need for policies, like the enforcement of antitrust laws and the defense of net neutrality, that give small players a chance.

It is telling that the computer scientist and entrepreneur Kai-Fu Lee, in his book “AI Superpowers: China, Silicon Valley, and the New World Order,” describes a race between China and Silicon Valley, as if the latter were the sum total of Western science in this area.

An interview with Dr. Stuart Russell, author of ‘Human Compatible, Artificial Intelligence and the Problem of Control’

But it just doesn’t work that way.  When you start crossing over to systems that are more intelligent, operating on a global scale, and having real-world impact, like trading algorithms, for example, or social media content selection, then all of a sudden, you are having a big impact on real-world, and it’s hard to control.

Dr. Russell: I think everyone, because everyone is going to be affected by this.  As progress occurs towards human level (AI), each big step is going to magnify the impact by another factor of 10, or another factor of 100.

More specifically, it would be policymakers, the people who run the large companies like Google and Amazon, and people in AI, related disciplines, like control theory, cognitive science and so on.

So chapter two (of Human Compatible was) sort of mammoth and some people said, “Oh, this is too much to get through and others said, “No, you absolutely have to keep it.”  So I compromised and put the pedagogical stuff in the appendices.

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