Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction
It addresses social marginalization in AI for underrepresented groups, but is incremental as it builds on existing ethical frameworks.
This paper tackles the problem of gender bias in AI design by proposing Enactive Artificial Intelligence (eAI) as an intersectional gender-inclusive approach, focusing on subverting gender norms in robot-human interaction and identifying ethical vectors like explainability and fairness.
This paper introduces Enactive Artificial Intelligence (eAI) as an intersectional gender-inclusive stance towards AI. AI design is an enacted human sociocultural practice that reflects human culture and values. Unrepresentative AI design could lead to social marginalisation. Section 1, drawing from radical enactivism, outlines embodied cultural practices. In Section 2, explores how intersectional gender intertwines with technoscience as a sociocultural practice. Section 3 focuses on subverting gender norms in the specific case of Robot-Human Interaction in AI. Finally, Section 4 identifies four vectors of ethics: explainability, fairness, transparency, and auditability for adopting an intersectionality-inclusive stance in developing gender-inclusive AI and subverting existing gender norms in robot design.