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Creative Loss: Ambiguity, Uncertainty and Indeterminacy

Tom Holberton

TL;DR

It is evaluated how creative uses of machine learning can address three adjacent terms: ambiguity, uncertainty and indeterminacy to reflect on increasing ambitions for machine learning as a creative partner.

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.

Creative Loss: Ambiguity, Uncertainty and Indeterminacy

TL;DR

It is evaluated how creative uses of machine learning can address three adjacent terms: ambiguity, uncertainty and indeterminacy to reflect on increasing ambitions for machine learning as a creative partner.

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.
Paper Structure (6 sections, 7 figures)

This paper contains 6 sections, 7 figures.

Table of Contents

  1. Introduction
  2. Ambiguity
  3. Uncertainty
  4. Indeterminacy
  5. Conclusion
  6. Ethical implications

Figures (7)

  • Figure 1: AI wabi-sabi : Four physical bowls generated from the 'digital clay' of satellite images and trained from a craft of imperfection.
  • Figure 2: AI wabi-sabi : Acrylic and hand lacquered bowl generated from lunar site.
  • Figure 3: Probobli Boboli: a stone training set used to create a model that generates 'natural' forms with precise probabilities.
  • Figure 4: Probobli Boboli: Alternative architectural forms are autogenerated according to a recipe of probable stones - analysed, positioned and connected to form surfaces with continuous water drainage paths. See films at maguire_probobli_2023.
  • Figure 5: Towards a Non-Universal Architecture: autogenerated combinations of gestures that have been generated according to different community recipes, combining VR and GAN interpolation.
  • ...and 2 more figures