Synthetic intelligence: Not but prepared for prime time

Victoria Krakovna of LessWrong offers some examples the place synthetic intelligence (AI) algorithms didn’t work out precisely as deliberate. In truth, she has put collectively a grasp checklist of those AI points. Beneath I’ve listed a few of these examples which might be extra (or much less) associated to well being:

  • Most cancers. AI educated to categorise pores and skin lesions as probably cancerous learns that lesions photographed subsequent to a ruler usually tend to be malignant.
  • Pneumonia: Deep studying mannequin to detect pneumonia in chest x-rays works out which x-ray machine was used to take the image; that, in flip, is predictive of whether or not the picture incorporates indicators of pneumonia, as a result of sure x-ray machines (and hospital websites) are used for sicker sufferers
  • Poisoning: Neural nets developed to categorise edible and toxic mushrooms took benefit of the info being offered in alternating order, and didn’t truly study any options of the enter pictures.
  • Train. In a soccer online game, the participant is meant to attempt to rating a aim towards the goalie, one-on-one. As an alternative, the participant kicks it out of bounds. Somebody from the different crew has to throw the ball in (on this case the goalie), so now the participant has a transparent shot on the aim.
  • Site visitors fatalities (?). An AI agent taking part in a Street Runner sport kills itself on the finish of degree 1 to keep away from shedding in degree 2

Whereas these examples are attention-grabbing and in some circumstances entertaining, they do reveal that making use of AI in new conditions–a sort of exterior validity–should be finished with nice care.

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