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To reconcile these blended conclusions, Lu and his co-authors executed a meta-Assessment of 163 prior experiments that when compared persons’s preferences for AI versus human beings. The scientists analyzed if the info supported their proposed “Capability–Personalization Framework” — the concept that in a very specified context, both the perceived capability of AI as well as the perceived requirement for personalization condition our Tastes for both AI or people.

He provides: “The important thing thought here is that prime perceived capacity alone isn't going to promise AI appreciation. Personalization issues too.”

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