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To reconcile these mixed conclusions, Lu and his co-authors performed a meta-Evaluation of 163 prior experiments that compared people’s Choices for AI as opposed to humans. The researchers tested whether or not the facts supported their proposed “Capacity–Personalization Framework” — the idea that in a very presented context, both the perceived functionality of AI along with the perceived necessity for personalization shape our preferences for possibly AI or human beings.

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“The meta-Assessment supported our theoretical framework,” Lu claims. “Each dimensions are very important: Persons Consider whether AI is a lot more capable than folks at a offered job, and whether the activity requires personalization.

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But read more They can be more resistant to AI in contexts like therapy, task interviews, or clinical diagnoses, where they really feel a human is best capable to recognize their special instances.

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