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“We propose that AI appreciation takes place when AI is perceived as remaining extra capable than human beings and personalization is perceived as being unnecessary in the given choice context,” states MIT Professor Jackson Lu, co-author of the freshly printed paper detailing the research’s success.
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To spice up the reliability of reinforcement Discovering types for elaborate jobs with variability, MIT scientists have introduced a more efficient algorithm for schooling them.
He adds: “The main element idea here is that high perceived capability alone doesn't assure AI get more info appreciation. Personalization matters also.”
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