Enactive artificial intelligence: subverting gender norms in human-robot interaction

Inês Hipólito*, Katie Winkle, Merete Lie

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)
    39 Downloads (Pure)

    Abstract

    Introduction: This paper presents Enactive Artificial Intelligence (eAI) as a gender-inclusive approach to AI, emphasizing the need to address social marginalization resulting from unrepresentative AI design.

    Methods: The study employs a multidisciplinary framework to explore the intersectionality of gender and technoscience, focusing on the subversion of gender norms within Robot-Human Interaction in AI.

    Results: The results reveal the development of four ethical vectors, namely explainability, fairness, transparency, and auditability, as essential components for adopting an inclusive stance and promoting gender-inclusive AI.

    Discussion: By considering these vectors, we can ensure that AI aligns with societal values, promotes equity and justice, and facilitates the creation of a more just and equitable society.
    Original languageEnglish
    Article number1149303
    Pages (from-to)1-11
    Number of pages11
    JournalFrontiers in Neurorobotics
    Volume17
    DOIs
    Publication statusPublished - 8 Jun 2023

    Bibliographical note

    Copyright the Author(s) 2023. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

    Keywords

    • artificial intelligence
    • human-robot interaction
    • feminist technoscience
    • enactivism
    • sociocultural practices

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