The author worries children will have long-term consequences observing their parents bypassing actual conversation in favor of automated civility, but we have to contrast and compare that with the violence and abuse that the children might not be observing.
Nothing different would have resulted, I’d guess, if the person had been randomly chosen by the head flight attendant.Īnother place the Loop appears, in Ward’s view, is in a system called CoParenter, an app used by divorced parents that offers suggestions to keep the tone polite and arrangements formal. Dao came from a combination of the temporary suspension of normal social functioning that characterizes every airplane flight and good old-fashioned police power. But I don’t buy this example as an algorithmic harm, even while I’m interested in why it chose Dr. The author wants us to think this is proof of the Loop closing in on us, that the algorithm was critical in removing choices from us and seeming inevitable. When he refused to go, he was badly injured in his removal by the Chicago Aviation Police. Dao as the person who would lose his seat. (Why not $1,200? $4,000?) They changed tack, using an opaque algorithm to choose Dr. The airline wanted extra seats for crew members of another flight, so it offered $400, then $800, for someone to change flights, but nobody took the offer. Dao on United Airlines Flight 3411 to illustrate how people are psychologically hemmed in by A.I. For instance, he uses the well-known story of Dr. So Ward is fighting an uphill battle, and although he tries to make it feel real, not all of his examples work. Then again, those examples suffer from yet another human bias, namely the actor-observer bias, which leads most people to think they won’t be targeted by such systems anytime soon. Recent examples from police usage of pretrial risk assessments and facial recognition should make us think twice, as Ward suggests, about trusting A.I. He also rebuts the Silicon Valley-esque assumption that A.I. For background, Ward offers a short history of A.I., concentrating on how the people who own and deploy the algorithms measure their success.
0 kommentar(er)
