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Gender Bias in Artificial Intelligence

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Gender in AI and Robotics

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 235))

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Abstract

The last decade has witnessed remarkable advances in the field of artificial intelligence (AI), widening the horizons of practical application in a vast array of different contexts.

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Author information

Authors and Affiliations

  1. University of Santiago de Compostela, Santiago, Spain

    Enrique Latorre Ruiz & Eulalia Pérez Sedeño

  2. Instituto de Filosofía-Consejo Superior de Investigaciones Científicas, Albasanz, 26-28, 28037, Madrid, Spain

    Enrique Latorre Ruiz & Eulalia Pérez Sedeño

Authors
  1. Enrique Latorre Ruiz
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  2. Eulalia Pérez Sedeño
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Corresponding author

Correspondence to Eulalia Pérez Sedeño .

Editor information

Editors and Affiliations

  1. ICREA Acadèmia, Department of Philosophy, Universitat Autònoma de Barcelona, Bellaterra, Catalonia, Spain

    Jordi Vallverdú

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Latorre Ruiz, E., Pérez Sedeño, E. (2023). Gender Bias in Artificial Intelligence. In: Vallverdú, J. (eds) Gender in AI and Robotics. Intelligent Systems Reference Library, vol 235. Springer, Cham. https://doi.org/10.1007/978-3-031-21606-0_4

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