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To reconcile these combined results, Lu and his co-authors executed a meta-Investigation of 163 prior experiments that compared individuals’s Choices for AI compared to individuals. The scientists examined if the knowledge supported their proposed “Capacity–Personalization Framework” — the concept that in the offered context, both equally the perceived capacity of AI as well as the perceived requirement for personalization condition our Choices for either AI or human beings.
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“We propose that AI appreciation takes place when AI is perceived as being far more capable than individuals and personalization is perceived as currently being unneeded inside a specified final decision context,” states MIT Professor Jackson Lu, co-creator of the freshly released paper detailing the review’s benefits.
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