Neuralpoiesis: A Posthuman Feminist Framework for Embodied Memory Production Through Algorithmic Technologies

Abstract

This paper introduces Neuralpoiesis, a posthuman feminist framework that reimagines memory production as a dynamic, embodied process mediated by algorithmic technologies, specifically through machine learning models such as Neural Radiance Fields (NeRFs). Drawing on Edith Stein’s concept of non-actuality and Rosi Braidotti’s theory of nomadic subjectivity, this text examines how memory is created and experienced through embodied interaction with the present environment. Displaced individuals, particularly women, can use NeRF visualizations to create personal memory artifacts from scanned images of objects in their current surroundings that evoke memories of the past. By juxtaposing Fourth Wave Feminism with the Fourth Industrial Revolution, the framework critiques the conventional, efficiency-driven uses of machine learning, offering instead a feminist reapplication that emphasizes coping and empowerment for marginalized groups. The framework considers the emotional and psychological needs of displaced populations by situating algorithmic technologies as active participants in memory production.