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Research · Critical theory

Autonomy, Authenticity, Authorship and Intention in Computer Generated Art

EvoMUSART 2019 (Springer) · McCormack, J., Gifford, T., Hutchings, P. · 2019

Key points

  1. McCormack and colleagues set out the core questions of autonomy, authenticity, authorship and intention for computer-generated art.
  2. The paper's four-concept framework (autonomy, authenticity, authorship, intention) structures the 'is this creative?' debate in generative-art teaching.
  3. It is a standard reference in the computational-creativity and generative-art literature.

Summary

McCormack, Gifford, and Hutchings' 2019 paper, published in the EvoMUSART 2019 proceedings (Springer), articulates the four central questions educators encounter when teaching AI-generated art: autonomy (how independently does the system act?), authenticity (is the output genuinely the system's own?), authorship (who made this?), and intention (does the system have goals?). It provides a structured theoretical vocabulary that educators in animation and generative-art courses use to frame studio critique and discussion of AI tools.

Source

Source: EvoMUSART 2019 (Springer) ↗ (Research)

Cite this item

McCormack, J., Gifford, T. & Hutchings, P. (2019). ‘Autonomy, Authenticity, Authorship and Intention in Computer Generated Art’, EvoMUSART 2019 (Springer). Available at: https://link.springer.com/chapter/10.1007/978-3-030-16667-0_3

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