“Artificial intelligence is a science, and a set of computational technologies, that are inspired, but typically operate quite differently from, the way people use their nervous systems and bodies to sense, learn, reason, and take action.” That is why I like the Stanford 100-Year Study definition, which captures much of this nuance. But AI is really programmed machine optimization. We also anthropomorphize AI viewing “intelligence” as a human quality and one with emotions. It encompasses many fields and subfields. “Whoever becomes the leader in this sphere will become the ruler of the world.” And my personal favorite, “When will it eat us?” I’ll explain a little bit more about being eaten in a moment.Īnd, of course, you’ve seen the many warnings from Stephen Hawking and Elon Musk, captured in succinct manner by Hawking, “In short, the rise of powerful AI will be either the best or the worst thing ever to happen to humanity.” Lest Russia feel left out, here are two reassuring quotes from Vladimir Putin. 200 million people watched AlphaGo beat Sedol on television. This was in part because Go is a Chinese game and in part because it was a US computer that won. This was viewed, and still is viewed, by many as a Sputnik moment in China. However, as you will see in a moment, it is hard to define AI and it is hard to account for $150 billion across multiple technological fields and subfields.Īs many of you know, in 2016, Google’s AlphaGo computer, a DeepMind computer at the time, beat the world’s best Go player, Lee Sedol.
China has committed $150 billion to this goal. The aim is to reach par-ity by 2020 with the leading countries, i.e., the United States, to become one of the world’s leaders in 2025, and to be the primary AI power in 2030. In July 2017, China’s State Council, in theory their highest governing body, released an AI plan and strategy calling for China to become the world’s leader in AI by 2030. That should get your attention-as transformative a military technology as aviation and nuclear weapons. (IARPA is the intelligence community’s version of DARPA.) The study concluded that AI is likely to be as transformative a military technology as aviation and nuclear weapons were before. Let’s begin with the 2017 Belfer-IARPA study on AI and national security. I will close by suggesting a legal framework for moving forward along with two final questions.
I will then define AI, summarize its evolution, before describing its national security applications and implications. I will start with a few data points, with which I hope to grab your attention. And, my job is to explain to policymakers why they should care about national security law as it applies to AI, and care now. My job is to translate for you, in plain English, why you should care about AI in the national security sphere. I do not mean I am a civil engineer, but someone who bridges communities. I know better than to come into MIT and talk about algorithmic formulas. Continued abuse of our services will cause your IP address to be blocked indefinitely.My topic is artificial intelligence and national security law, with emphasis on law. Please fill out the CAPTCHA below and then click the button to indicate that you agree to these terms. If you wish to be unblocked, you must agree that you will take immediate steps to rectify this issue. If you do not understand what is causing this behavior, please contact us here. If you promise to stop (by clicking the Agree button below), we'll unblock your connection for now, but we will immediately re-block it if we detect additional bad behavior.
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