AUTHOR=Hipólito Inês , Winkle Katie , Lie Merete 

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

JOURNAL=Frontiers in Neurorobotics

VOLUME=17

YEAR=2023

URL=https://www.frontiersin.org/journals/neurorobotics/articles/10.3389/fnbot.2023.1149303

DOI=10.3389/fnbot.2023.1149303

ISSN=1662-5218

ABSTRACT=<sec><title>Introduction</title><p>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.</p></sec><sec><title>Methods</title><p>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.</p></sec><sec><title>Results</title><p>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.</p></sec><sec><title>Discussion</title><p>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.</p></sec>