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cs.HC2026
Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability
Ahmed M. Abuzuraiq, Philippe Pasquier
Explainable AI (XAI) in creative practice can be less about technocentric explanation and more about enabling artists to inspect modify and debug models as part of making Yet large…
cs.HC2025
Explainability-in-Action: Enabling Expressive Manipulation and Tacit Understanding by Bending Diffusion Models in ComfyUI
Ahmed M. Abuzuraiq, Philippe Pasquier
Explainable AI (XAI) in creative contexts can go beyond transparency to support artistic engagement, modifiability, and sustained practice. While curated datasets and training huma…
cs.HC2024
Seizing the Means of Production: Exploring the Landscape of Crafting, Adapting and Navigating Generative AI Models in the Visual Arts
Ahmed M. Abuzuraiq, Philippe Pasquier
In this paper, we map out the landscape of options available to visual artists for creating personal artworks, including crafting, adapting and navigating deep generative models. F…