AI behaviour manipulations

AI boundaries are more and more understood. A group of researchers at Harvard and M.I.T. have raised the prospect of “adversarial attacks” — manipulations that can change the behavior of A.I. systems using tiny pieces of digital data. By changing a few pixels on a lung scan, for instance, someone could fool an A.I. system into seeing an illness that is not really there, or not seeing one that is.

Software developers and regulators must consider such scenarios, as they build and evaluate A.I. technologies in the years to come.