Emergent, not Immanent: A Baradian Reading of Explainable AI

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Hauptverfasser: Morreale, Fabio, Serrà, Joan, Mitsufuji, Yuki
Format: Preprint
Veröffentlicht: 2026
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author Morreale, Fabio
Serrà, Joan
Mitsufuji, Yuki
author_facet Morreale, Fabio
Serrà, Joan
Mitsufuji, Yuki
contents Explainable AI (XAI) is frequently positioned as a technical problem of revealing the inner workings of an AI model. This position is affected by unexamined onto-epistemological assumptions: meaning is treated as immanent to the model, the explainer is positioned outside the system, and a causal structure is presumed recoverable through computational techniques. In this paper, we draw on Barad's agential realism to develop an alternative onto-epistemology of XAI. We propose that interpretations are material-discursive performances that emerge from situated entanglements of the AI model with humans, context, and the interpretative apparatus. To develop this position, we read a comprehensive set of XAI methods through agential realism and reveal the assumptions and limitations that underpin several of these methods. We then articulate the framework's ethical dimension and propose design directions for XAI interfaces that support emergent interpretation, using a speculative text-to-music interface as a case study.
format Preprint
id arxiv_https___arxiv_org_abs_2601_15029
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Emergent, not Immanent: A Baradian Reading of Explainable AI
Morreale, Fabio
Serrà, Joan
Mitsufuji, Yuki
Artificial Intelligence
Human-Computer Interaction
Explainable AI (XAI) is frequently positioned as a technical problem of revealing the inner workings of an AI model. This position is affected by unexamined onto-epistemological assumptions: meaning is treated as immanent to the model, the explainer is positioned outside the system, and a causal structure is presumed recoverable through computational techniques. In this paper, we draw on Barad's agential realism to develop an alternative onto-epistemology of XAI. We propose that interpretations are material-discursive performances that emerge from situated entanglements of the AI model with humans, context, and the interpretative apparatus. To develop this position, we read a comprehensive set of XAI methods through agential realism and reveal the assumptions and limitations that underpin several of these methods. We then articulate the framework's ethical dimension and propose design directions for XAI interfaces that support emergent interpretation, using a speculative text-to-music interface as a case study.
title Emergent, not Immanent: A Baradian Reading of Explainable AI
topic Artificial Intelligence
Human-Computer Interaction
url https://arxiv.org/abs/2601.15029