This article equips readers with processes to identify ethical artificial intelligence solutions that may benefit libraries, archives, and museums. It provides definitions of common artificial intelligence concepts and terms. It then describes existing and potential use cases for artificial intelligence solutions. It concludes with an in-depth discussion on how to interrogate artificial intelligence models for potential ethical issues and how to remediate those issues before implementation.
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