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Creative Loss: Ambiguity, Uncertainty and Indeterminacy

Computers and Society 2025-01-22 v1 Artificial Intelligence Human-Computer Interaction Machine Learning

Abstract

This article evaluates how creative uses of machine learning can address three adjacent terms: ambiguity, uncertainty and indeterminacy. Through the progression of these concepts it reflects on increasing ambitions for machine learning as a creative partner, illustrated with research from Unit 21 at the Bartlett School of Architecture, UCL. Through indeterminacy are potential future approaches to machine learning and design.

Keywords

Cite

@article{arxiv.2501.10369,
  title  = {Creative Loss: Ambiguity, Uncertainty and Indeterminacy},
  author = {Tom Holberton},
  journal= {arXiv preprint arXiv:2501.10369},
  year   = {2025}
}

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NeurIPS 2024 Creative AI Track

R2 v1 2026-06-28T21:09:36.498Z