Leading Computability Expert Says Humans Can Do What Computers Cannot

(p. B4) What does Turing’s research tell us?
“There is some scientific basis for the view that humans are doing something that a machine isn’t doing–and that we don’t even want our machine to do,” says S. Barry Cooper, a mathematician at Leeds and the foremost scholar of Turing’s work.
The math behind this is deep, but here’s the short version: Humans seem to be able to decide the validity of statements that should stump us, were we strictly computers as Turing described them. And since all modern computers are of the sort Turing described, well, it seems that we’ve won the race against the machines before it’s even begun.
. . .
The future of technology isn’t about replacing humans with machines, says Prof. Cooper–it’s about figuring out the most productive way for the two to collaborate. In a real and inescapable way, our machines need us just as much as we need them.

For the full commentary, see:
Mims, Christopher. “KEYWORDS; Why Humans Needn’t Fear the Machines All Around Us; Turing’s Heirs Realize a Basic Truth: The Machines We Create Are Not, Indeed Cannot Be, Replacements for Humans.” The Wall Street Journal (Tues., DEC. 1, 2014): B4.
(Note: ellipsis added.)
(Note: the online version of the commentary has the date Nov. 30, 2014, and has the title “KEYWORDS; Why We Needn’t Fear the Machines; A Basic Truth: Computers Can’t Be Replacements for Humans.”)

One of the major books by the Turing and computability expert quoted in the passages above, is:
Cooper, S. Barry. Computability Theory, Chapman Hall/CRC Mathematics Series. Boca Raton, Florida: Chapman and Hall/CRC Mathematics, 2003.

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