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Lee, H.-K. (2022). Rethinking creativity: Creative industries, AI and everyday creativity. Media, Culture & Society, 44(3), 601–612. 
Added by: alexb44 (2/20/25, 9:17 AM)   Last edited by: alexb44 (2/20/25, 9:45 AM)
Resource type: Journal Article
Peer reviewed
DOI: 10.1177/01634437221077009
ID no. (ISBN etc.): 0163-4437
BibTeX citation key: Lee2022
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Categories: AI/Machine Learning
Creators: Lee
Publisher: Sage Publications (London)
Collection: Media, Culture & Society
Views: 23/145
Abstract
This commentary reflects on how creativity is dehumanised (and rehumanised) and how its labour aspects are hindered (and highlighted) in the three recent developments in our understanding of arts, culture and creativity: the creative industries; AI creativity; and creativity in everyday life. The creative industries discourse instrumentalises and dehumanises creativity by hiding labour perspectives and treating creativity as human capital and a generator of IP. Meanwhile, contemplating AI creativity helps us to look beyond the economic paradigm and consider key traits of human creativity and the creation process, some aspects of which are successfully emulated by AI. Yet, we also observe how AI dissociates creativity from human agency and how its cost-cutting effect can challenge human creators in many sectors. Finally, the idea of everyday creativity effectively rehumanises and democratises creativity; however, it not only lacks labour perspectives but also hinders them.
  
Notes
Highlights points of future research from a humanities perspective:

- "In terms of AI related ethics in the arts, the authorship and autonomy of AI is a greatly debated issue (Browne, 2022). We argue that co-creativity can explain the complex human–AI relationship and support artists in this matter, as it acknowledges the roles of both humans and AI in the process and does not strip artist of their creative share." (p. 189)

- "AI needs to be transparent and trustworthy in science, and it must be playful and surprising in the arts. We encourage collaboration with social scientific creativity research to understand co-creativity from distributed and posthuman perspectives as well. In the future, co-creativity can expand to describe creative human–AI interaction on a more comprehensive level" (p. 189)


  
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