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  • Title: ➤  Implicit Bias Against Artificial Intelligence Algorithms
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  • Internet Archive ID: osf-registrations-x9z6g-v1

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We suggest that people develop an implicit bias (i.e., prejudice) against artificial intelligence (AI) systems, as a different and threatening “species” the behavior of which is unknown. We expected people to be guided by this implicit bias but try to override it. This leads to some willingness to rely on algorithmic advice (appreciation) which is reduced as a function of people’s implicit prejudice against the machine. Next, we provide an explanation as to why aversion is ephemeral. As people learn about the performance of an algorithm, they depend less on primal implicit biases when deciding whether to rely on the AI’s advice. Two studies (n1=675, n2=317) that use the Implicit Association Test consistently support this view. Two additional studies (n3=255, n4=332) rule out alternative explanations and provide stronger support for our assertions.

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"Implicit Bias Against Artificial Intelligence Algorithms" is available for download from The Internet Archive in "data" format, the size of the file-s is: 1.35 Mbs, and the file-s went public at Sat Dec 30 2023.

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  • Source: Internet Archive
  • All Files are Available: Yes
  • Number of Files: 5
  • Number of Available Files: 5
  • Added Date: 2023-12-30 12:01:19
  • Scanner: Internet Archive Python library 1.9.9

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