Mind Matters Natural and Artificial Intelligence News and Analysis

TagBlack box algorithms (in decision-making)

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Stock Trader Sleeping At Multiple Computer's Desk

More Hard Math Does Not Necessarily Mean More Useful Solutions

It is sometimes tempting to overemphasize the math and underemphasize the relevance

Math is said to be the language of science in that most (but definitely not all) scientific models of the world involve mathematical equations. The Pythagorean theorem, the normal distribution, Einstein’s energy-mass equivalence, Newton’s second law of motion, Newton’s universal law of gravitation, Planck’s equation. How could any of these remarkable models be expressed without math? Unfortunately, it is sometimes tempting to overemphasize the math and underemphasize the relevance. The brilliance of the models listed above lies not in mathematical pyrotechnics but, if anything, in their breath-taking simplicity. Useful models help us understand the world and make reliable predictions. Math for the sake of math does neither. Examples of mindless math are legion. I will give three very different examples.…

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Positive girl resting on the couch with robot

Turing Tests Are Terribly Misleading

Black box algorithms are now being trusted to approve loans, price insurance, screen job applicants, trade stocks, determine prison sentences, and much more. Is that wise?

In 1950 Alan Turing proposed that the question, “Can machines think?,” be replaced by a test of how well a computer plays the “imitation game.” A man and woman go into separate rooms and respond with typewritten answers to questions that are intended to identify the players, each of whom is trying to persuade the interrogators that they are the other person. Turing proposed that a computer take the part of one of the players and the experiment be deemed a success if the interrogators are no more likely to make a correct identification. There are other versions of the game, some of which were suggested by Turing. The standard Turing test today involves a human and a computer and…