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To reconcile these combined findings, Lu and his co-authors conducted a meta-Evaluation of 163 prior experiments that as opposed people’s Tastes for AI compared to individuals. The researchers analyzed whether the info supported their proposed “Capability–Personalization Framework” — the idea that within a specified context, each the perceived capacity of AI as well as the perceived necessity for personalization condition our preferences for both AI or humans.
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