On creative practice and generative AI: Co-shaping the development of emerging artistic technologies

Matjaz Vidmar; Drew Hemment; Dave Murray-Rust; Suzanne R. Black

doi:10.4324/9781003365891-9

On creative practice and generative AI: Co-shaping the development of emerging artistic technologies

Matjaz Vidmar, Drew Hemment, Dave Murray-Rust, Suzanne R. Black

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract / Description of output

In recent years, advances in artificial intelligence (AI) and machine learning have given rise to powerful new tools and methods for creative practitioners. 2022–2023 in particular saw an explosion in generative AI tools, models and use cases. Noting the long history of critical arts engaging with AI, this chapter considers both the application of generative AI in the creative indus-tries, and ways in which artists co-shape the development of these emerging technologies. After reviewing the landscape of generative AI in visual arts, music and games, we propose four areas of critical interest for the future co-shaping of generative AI and creative practice in the areas of communi-ties and open source, deeper engagement with AI, beyond the human and cultural feedbacks.

Original language	English
Title of host publication	Data-Driven Innovation in the Creative Industries
Editors	Melissa Terras, Vikki Jones, Nicola Osborne, Chris Speed
Publisher	Routledge
Chapter	9
Pages	196-218
Number of pages	23
ISBN (Electronic)	978-1-003-36589-1
ISBN (Print)	978-1-032-43150-5, 978-1-032-43151-2
DOIs	https://doi.org/10.4324/9781003365891-9
Publication status	Published - 17 Apr 2024

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10.4324/9781003365891-9Licence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

10.4324_9781003365891-9_chapterpdfFinal published version, 536 KBLicence: Creative Commons: Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

1 Finished

The New Real – Trust and acceptance in networked, online experiences to enable and support post-COVID19 recovery
Speed, C., Hemment, D. & Luger, E.
AHRC
1/01/21 → 31/10/22
Project: Research

1 Chapter

Ownership and control in the creative economy: On new property rights for digital assets
Terras, M., Schafer, B. & Favreau, A., 17 Apr 2024, Data-Driven Innovation in the Creative Industries. Terras, M., Jones, V., Osborne, N. & Speed, C. (eds.). 1 ed. Routledge, p. 156-175 20 p. (Routledge Research in the Creative and Cultural Industries).
Research output: Chapter in Book/Report/Conference proceeding › Chapter

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Cite this

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On creative practice and generative AI: Co-shaping the development of emerging artistic technologies. / Vidmar, Matjaz ; Hemment, Drew; Murray-Rust, Dave et al.
Data-Driven Innovation in the Creative Industries. ed. / Melissa Terras; Vikki Jones; Nicola Osborne; Chris Speed. Routledge, 2024. p. 196-218.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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On creative practice and generative AI: Co-shaping the development of emerging artistic technologies

Abstract / Description of output

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Projects

The New Real – Trust and acceptance in networked, online experiences to enable and support post-COVID19 recovery

Research output

Ownership and control in the creative economy: On new property rights for digital assets

Cite this