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To reconcile these blended conclusions, Lu and his co-authors performed a meta-analysis of 163 prior scientific studies that when compared folks’s Tastes for AI versus human beings. The researchers analyzed whether the data supported their proposed “Functionality–Personalization Framework” — the idea that in the presented context, each the perceived functionality of AI along with the perceived necessity for personalization form our Tastes for possibly AI or individuals.
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“We’re not boasting perceived capability and personalization are the only real two dimensions that matter, but In keeping with our meta-Investigation, these two dimensions seize much of what styles men and women’s preferences for AI vs . human beings across a wide range of studies,” Lu concludes.
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