“The meta-Investigation supported our theoretical framework,” Lu says. “Both dimensions are important: Men and women evaluate if AI is more capable than people today at a offered activity, and whether the endeavor calls for personalization.
To teach an algorithm to regulate traffic lights at quite a few intersections in a very metropolis, an engineer would ordinarily make a choice from two primary ways.
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“We’re more info not professing perceived capacity and personalization are the one two dimensions that issue, but In line with our meta-Evaluation, both of these Proportions capture A great deal of what styles folks’s preferences for AI as opposed to human beings across a wide array of experiments,” Lu concludes.
To spice up the reliability of reinforcement Understanding types for intricate duties with variability, MIT researchers have released a more productive algorithm for instruction them.
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