Explainable Artificial Intelligence (XAI): Adoption and Advocacy.

The field of explainable artificial intelligence (XAI) advances techniques, processes, and strategies that provide explanations for the predictions, recommendations, and decisions of opaque and complex machine learning systems. Increasingly academic libraries are providing library users with systems...

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Detalles Bibliográficos
Publicado en:Information Technology & Libraries Vol. 41; no. 2; pp. 1 - 18
Autor principal: Ridley, Michael
Formato: review Journal Article
Publicado: American Library Association Jun2022
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Explainable Artificial Intelligence (XAI): Adoption and Advocacy.
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        au: Ridley, Michael
        affil: Librarian, University of Guelph
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          Artificial Intelligence
          Libraries, Academic
          Public Policy
          Machine Learning
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          Algorithms
      ab: The field of explainable artificial intelligence (XAI) advances techniques, processes, and strategies that provide explanations for the predictions, recommendations, and decisions of opaque and complex machine learning systems. Increasingly academic libraries are providing library users with systems, services, and collections created and delivered by machine learning. Academic libraries should adopt XAI as a tool set to verify and validate these resources, and advocate for public policy regarding XAI that serves libraries, the academy, and the public interest.
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        Journal Article
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    language: English
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