Related Experiment Video
Updated: Jul 25, 2025

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
Published on: November 24, 2015
Enactive artificial intelligence: subverting gender norms in human-robot interaction
Inês Hipólito1,2, Katie Winkle3, Merete Lie4
1Berlin School of Mind and Brain, Philosophische Fakultät, Humboldt-Universität zu Berlin, Berlin, Germany.
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.
Related Concept Videos
Stereotype Content Model
Socioemotional Experience and Gender Development
Non-equilibrium in the Cell
Nonconscious Mimicry
Stereotype Threat and Self-fulfilling Prophecies
Facial Feedback Hypothesis

