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To reconcile these mixed results, Lu and his co-authors done a meta-Assessment of 163 prior research that compared folks’s preferences for AI versus people. The scientists tested whether the details supported their proposed “Capacity–Personalization Framework” — the concept that within a offered context, each the perceived capability of AI as well as perceived requirement for personalization condition our preferences for either AI or individuals.
Much like the periodic table of chemical elements, which in AI PDF reviewer the beginning contained blank squares which were later on loaded in by researchers, the periodic desk of equipment learning also has vacant Areas. These spaces predict where algorithms must exist, but which haven’t been identified nonetheless.
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“People have a essential desire to see themselves as exclusive and distinctive from Other individuals,” Lu states. “AI is often viewed as impersonal and operating inside a rote fashion.
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