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Men and women’s reactions to AI have extended been issue to substantial debate, typically creating seemingly disparate findings. An influential 2015 paper on “algorithm aversion” located that men and women are much less forgiving of AI-generated more info problems than of human mistakes, whereas a extensively famous 2019 paper on “algorithm appreciation” found that people desired guidance from AI, when compared to assistance from people.
On the opposite facet, Shah proposes that generative AI could empower artists, who could use generative tools to assist them make Inventive articles they won't or else contain the indicates to provide.
To reconcile these combined conclusions, Lu and his co-authors carried out a meta-analysis of 163 prior reports that in comparison folks’s Choices for AI vs . humans. The researchers examined if the information supported their proposed “Ability–Personalization Framework” — the concept within a supplied context, each the perceived functionality of AI and the perceived requirement for personalization form our Choices for either AI or people.
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