This cuts the myth at an awkward angle: it is because the [artificial intelligence] systems are idiots, but still find their way into business, consu… - Erik J. Larson

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This cuts the myth at an awkward angle: it is because the [artificial intelligence] systems are idiots, but still find their way into business, consumer, and government application, that human-value questions are now infecting what were once purely scientific values.

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About Erik J. Larson

Erik J. Larson (born 1971) is an American writer, tech entrepreneur, and computer scientist. He is author of The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do. He has written for The Atlantic, The Hedgehog Review, the Los Angeles Review of Books, Wired, and professional journals. His other projects include two DARPA-funded startups, the most recent a company that provides influence rankings for colleges and universities using an influence ranking algorithm. Larson also publishes articles in his online newsletter Colligo.

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Alternative Names: Erik Larson

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Additional quotes by Erik J. Larson

General (non-narrow) intelligence of the sort we all display daily is not an algorithm running in our heads, but calls on the entire cultural, historical, and social context within which we think and act in the world.

Kurzweilians and Russellians alike promulgate a technocentric view of the world that both simplifies views of people — in particular, with deflationary views of intelligence as computation — and expands views of technology, by promoting futurism about AI as science and not myth.
Focusing on bat suits instead of Bruce Wayne has gotten us into a lot of trouble. We see unlimited possibilities for machines, but a restricted horizon for ourselves. In fact, the future intelligence of machines is a scientific question, not a mythological one. If AI keeps following the same pattern of overperforming in the fake world of games or ad placement, we might end up, at the limit, with fantastically intrusive and dangerous idiot savants.

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Notice that the story [of technical progress accelerating indefinitely] is not testable; we just have to wait around and see. If the predicted year of true AI's coming is false, too, another one can be forecast, a few decades into the future. AI in this sense is unfalsifiable and thus — according to the accepted rules of the scientific method — unscientific.

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