# Enactive Artificial Intelligence: Subverting Gender Norms in Robot-Human Interaction

arXiv: https://arxiv.org/abs/2301.08741 · HTML: https://mlsanity.com/paper/2301.08741/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 9 of its 206 references that are in the map.
- First posted on arXiv 17 Jan 2023.

## Builds on (most cited first, 9 of 9)

- [Power to the People? Opportunities and Challenges for Participatory AI](https://mlsanity.com/paper/2209.07572/) (2022)
- [Why AI is Harder Than We Think](https://mlsanity.com/paper/2104.12871/) (2021)
- [From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence](https://mlsanity.com/paper/2110.15245/) (2021)
- [Experience-Embedded Visual Foresight](https://mlsanity.com/paper/1911.05071/) (2019)
- [Tactile Mapping and Localization from High-Resolution Tactile Imprints](https://mlsanity.com/paper/1904.10944/) (2019)
- [Embodied Evolution in Collective Robotics: A Review](https://mlsanity.com/paper/1709.08992/) (2017)
- [Embodiment in Socially Interactive Robots](https://mlsanity.com/paper/1912.00312/) (2019)
- [Rebuilding Trust: Queer in AI Approach to Artificial Intelligence Risk Management](https://mlsanity.com/paper/2110.09271/) (2021)
- [Embodied, Situated, and Grounded Intelligence: Implications for AI](https://mlsanity.com/paper/2210.13589/) (2022)

## Built on by (most cited first, 1 of 1)

- [Designing explainable artificial intelligence with active inference: A framework for transparent introspection and decision-making](https://mlsanity.com/paper/2306.04025/) (2023)

## Abstract (arXiv)

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.