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How to Teach Artificial Intelligence Some Common Sense
A computer scientist who runs the Allen Institute for Artificial Intelligence in Seattle, he greets me in his bright office wearing jeans and a salmon-colored shirt, ushering me in past a whiteboard scrawled with musings about machine intelligence.
For AI to truly think like people, we need to teach it the stuff that everyone knows, like physics (balls tossed in the air will fall) or the relative sizes of things (an elephant can’t fit in a bathtub).
She started by examining thousands of online stories, blogs, and idiom entries in Wiktionary and extracting “phrasal events,” such as the sentence “Jeff punches Roger’s lights out.” Then she’d anonymize each phrase—“Person X punches Person Y’s lights out”—and ask the Turkers to describe the intent of Person X: Why did they do that?
When she had gathered 25,000 of these marked-up sentences, she used them to train a machine-learning system to analyze sentences it had never seen before and infer the emotion or intent of the subject.
It was told, for instance, about a music instructor getting angry at his band’s lousy performance and that “the instructor was furious and threw his chair.” The AI predicted that the musicians would “feel fear afterwards,” even though the story doesn’t explicitly say so.
Merely feeding a neural net tons of news articles isn’t enough, because it wouldn’t pick up on the unstated knowledge, the obvious stuff that writers didn’t bother to mention.
As Choi puts it, “People don’t say ‘My house is bigger than me.’ ” To help tackle this problem, she had the Turkers analyze the physical relationships implied by 1,100 common verbs, such as “X threw Y.” That, in turn, allowed for a simple statistical model that could take the sentence “Oren threw the ball” and infer that the ball must be smaller than Oren.
It has learned that TVs aren’t usually picked up.” Etzioni and his colleagues hope that these various components—Choi’s language reasoning, the visual thinking, other work they’re doing on getting an AI to grasp textbook science information—can all eventually be combined.
Artificial Intelligence - AI
The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal, although the term can be applied to any machine that exhibits traits associated with a human mind, such as learning and solving problems.
The goals of artificial intelligence include learning, reasoning and perception, and machines are wired using a cross-disciplinary approach based in mathematics, computer science, linguistics, psychology and more.
For example, machines that calculate basic functions or recognize text through methods such as optimal character recognition are no longer said to have artificial intelligence, since this function is now taken for granted as an inherent computer function.
For self-driving cars, the computer system must take into account all external data and compute it to act in a way that prevents collision Since its beginning, artificial intelligence has come under scrutiny from scientists and the public alike.
- On 12. juli 2020
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