Artificial Intelligence as a Positive and Negative Factor in Global Risk (2006)

by Eliezer Yudkowsky.

Forthcoming in Global Catastrophic Risks, eds. Nick Bostrom and Milan Cirkovic

By far the greatest danger of Artificial Intelligence">Artificial Intelligence is that people conclude too early that they understand it. Of course this problem is not limited to the field of AI. Jacques Monod wrote: "A curious aspect of the theory of evolution is that everybody thinks he understands it." (Monod 1974.) My father, a physicist, complained about people making up their own theories of physics; he wanted to know why people did not make up their own theories of chemistry. (They do.) Nonetheless the problem seems to be unusually acute in Artificial Intelligence">Artificial Intelligence. The field of AI has a reputation for making huge promises and then failing to deliver on them. Most observers conclude that AI is hard; as indeed it is. But the embarrassment does not stem from the difficulty. It is difficult to build a star from hydrogen, but the field of stellar astronomy does not have a terrible reputation for promising to build stars and then failing. The critical inference is not that AI is hard, but that, for some reason, it is very easy for people to think they know far more about Artificial Intelligence">Artificial Intelligence than they actually do. [via]

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