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To reconcile these blended findings, Lu and his co-authors executed a meta-Assessment of 163 prior scientific studies that in contrast folks’s preferences for AI compared to human beings. The scientists analyzed whether or not the info supported their proposed “Capacity–Personalization Framework” — the idea that within a supplied context, the two the perceived ability of AI plus the perceived requirement for personalization form our Tastes for possibly AI or people.

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“We’re not professing perceived functionality and personalization are the only real two Proportions that make any difference, but In keeping with our meta-Examination, these two dimensions capture A lot of what styles persons’s Choices for AI versus individuals throughout a variety of scientific tests,” Lu concludes.

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