On creative practice and generative ai: Co-shaping the development of emerging artistic technologies: Case study

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: Case study

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

^*Corresponding author for this work

Human Technology Relations

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Abstract

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 industries, 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 communities 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
Place of Publication	London
Publisher	Routledge - Taylor & Francis Group
Chapter	9
Pages	196-218
Number of pages	23
ISBN (Electronic)	9781040032008, 9781003365891
ISBN (Print)	9781032431505, 9781032431512
DOIs	https://doi.org/10.4324/9781003365891-9
Publication status	Published - 2024

Publication series

Name	Routledge Research in the Creative and Cultural Industries
Publisher	Routledge - Taylor & Francis Group

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10.4324/9781003365891-9

10.4324_9781003365891-9_chapterpdfFinal published version, 536 KBLicence: CC BY-NC-ND

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Vidmar, M., Hemment, D., Murray-Rust, D., & Black, S. R. (2024). On creative practice and generative ai: Co-shaping the development of emerging artistic technologies: Case study. In M. Terras, V. Jones, N. Osborne, & C. Speed (Eds.), Data-Driven Innovation in the Creative Industries (pp. 196-218). (Routledge Research in the Creative and Cultural Industries). Routledge - Taylor & Francis Group. https://doi.org/10.4324/9781003365891-9

Vidmar, Matjaz ; Hemment, Drew ; Murray-Rust, Dave et al. / On creative practice and generative ai : Co-shaping the development of emerging artistic technologies: Case study. Data-Driven Innovation in the Creative Industries. editor / Melissa Terras ; Vikki Jones ; Nicola Osborne ; Chris Speed. London : Routledge - Taylor & Francis Group, 2024. pp. 196-218 (Routledge Research in the Creative and Cultural Industries).

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abstract = "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 industries, 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 communities and open source, deeper engagement with AI, beyond the human and cultural feedbacks.",

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Vidmar, M, Hemment, D, Murray-Rust, D & Black, SR 2024, On creative practice and generative ai: Co-shaping the development of emerging artistic technologies: Case study. in M Terras, V Jones, N Osborne & C Speed (eds), Data-Driven Innovation in the Creative Industries. Routledge Research in the Creative and Cultural Industries, Routledge - Taylor & Francis Group, London, pp. 196-218. https://doi.org/10.4324/9781003365891-9

On creative practice and generative ai: Co-shaping the development of emerging artistic technologies: Case study. / 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. London: Routledge - Taylor & Francis Group, 2024. p. 196-218 (Routledge Research in the Creative and Cultural Industries).

Research output: Chapter in Book/Conference proceedings/Edited volume › Chapter › Scientific › peer-review

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Vidmar M, Hemment D, Murray-Rust D, Black SR. On creative practice and generative ai: Co-shaping the development of emerging artistic technologies: Case study. In Terras M, Jones V, Osborne N, Speed C, editors, Data-Driven Innovation in the Creative Industries. London: Routledge - Taylor & Francis Group. 2024. p. 196-218. (Routledge Research in the Creative and Cultural Industries). doi: 10.4324/9781003365891-9

On creative practice and generative ai: Co-shaping the development of emerging artistic technologies: Case study

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