Mind Matters Natural and Artificial Intelligence News and Analysis

TagWisdom of Crowds (book)

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The Wisdom of Crowds: Are Crowds Really Wiser Than Individuals?

According to the theory, with a large number of guessers, the median number is very likely to be close to the true value

Statistician Sir Francis Galton went to a country fair in 1907 where a prize was to be awarded to the person who made the most accurate guess of the butchered weight of an ox that was on display. Galton collected and analyzed the 787 guesses and, not surprisingly, found that some guesses were far too high and others were much too low. However, the average guess (1,197 pounds) was only 1 pound lower than the actual weight (1,198 pounds). The average was more accurate than the guesses of the vast majority of both the amateurs and the experts. In the 1980s, a finance professor named Jack Treynor (1930–2016) performed a similar, and now legendary, experiment with jelly beans. Professor Treynor…

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AI Expert: Artificial Intelligences Are NOT Electronic People

AI makes mistakes no human makes, so some experts are trying to adapt human cognitive psychology to machines

David Watson of the Oxford Internet Institute and the Alan Turing Institute has published an interesting and quite readable paper in Minds and Machines on the way in which artificial intelligence experts often endow their creations — mistakenly — with human characteristics. In his open access paper, “The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence,” he fills us in on some of the limitations of AI and proposes fixes based on human thinking. First, thinking that AI is like a human or about to become like a human is not new: The biomimetic approach to AI has always inspired the popular imagination. Writing about Rosenblatt’s perceptron, the New York Times declared in 1958 that “The Navy has revealed the…

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The Golden Age of the Web?—A Dissent

What happened to the collaborative culture, decentralized markets, and wisdom of crowds that bestsellers prophesied fifteen years ago?

Remembering the prophecies for the web in the halcyon days of ten or (better) fifteen years ago is strangely painful and disorienting, like a hangover, largely because we so silently abandoned its ideals.

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