[Commlist] CFP: AI and Creativity

*Call for Chapter Proposals*
AI and Creativity: Authorship, Identity, and Practice in AI-Mediated 
Creative Work. Edited collection — Sonia Tascon, Kara-Jane Lombard, 
Janey Umback, Curtin University. Abstracts due: 1 February 2027
------------------------------------------------------------------------
In August 2022, game designer Jason Allen won first place in the 
Colorado State Fair's amateur digital arts competition for /Théâtre 
D'opéra Spatial/, an image generated using Midjourney (Roose 2022; 
Vallance 2022). His win sparked immediate controversy, with critics 
questioning the legitimacy of AI-generated art and the place of human 
authorship in the creative process (Ghosh & Fossas 2022). Rather than a 
dispute confined to competition rules, the incident became emblematic of 
broader changes in creative practice, as AI systems move from supporting 
human creativity to actively shaping, or even originating, artistic outputs.

That shift has prompted renewed debate about authorship (Rezwana & Maher 
2023), artistic labour (cf. Prada 2024), and the legitimacy of 
AI-generated art (Lana 2022), while also raising more fundamental 
questions about how creatives understand and develop their role, agency, 
and identity within AI-mediated processes. Existing research documents 
the pressures generative AI places on creative professionals: financial 
and reputational risk (Jiang et al. 2023), the erosion of creative 
control (Uusitalo et al. 2024), skill loss, creative fatigue (Li et al. 
2024), and concerns about professional and creative displacement 
(Kawakami & Venkatagiri 2024), with particular exposure for those early 
in their careers. In educational settings, these pressures bear directly 
on how emerging practitioners understand their legitimacy as creatives 
(Jiang 2025: 235).

The picture is not uniformly negative. Studies point to AI's capacity to 
support ideation (Ngai et al. 2025; Wang & Wu 2025), accelerate 
prototyping (Hutson & Cotroneo 2023), expand creative exploration (Gao 
et al. 2025), improve accessibility (Rasul et al. 2024), and the 
potential to close achievement gaps among students (James & Andrews 
2024). Recent empirical work suggests generative AI may strengthen 
students' perceptions of their own creative competence through increased 
self-confidence, self-efficacy, and emotional engagement with creative 
work (Hwang & Wu 2025; Li et al. 2026). At the same time, practitioners 
report internalised stigma around disclosing AI use — what Makayla Lewis 
(2025) terms "AI shaming" — and a reluctance to have their practice read 
as a shortcut.

Prior work frequently frames responses to AI in binary terms, as 
acceptance or resistance. There are fewer discussions, however, about 
what lies between those poles. Creative identities appear negotiated, 
contingent, and context-dependent, shaped by tensions between authorship 
and assistance, originality and efficiency, individual expression and 
technological collaboration. This collection sets out to map that middle 
ground.

We invite chapter proposals that examine the relationship between AI and 
creativity across disciplines, methods, and sites of practice. We 
particularly welcome empirical work, practitioner accounts, and 
theoretically grounded analysis that moves beyond binary framings of the 
debate.
Topics may include, but are not limited to:

  * Creative identity formation and negotiation in AI-mediated environments
  * Authorship, ownership, originality, and attribution in human–AI
    collaboration
  * AI in creative education: pedagogy, assessment, curriculum design
  * Stigma, disclosure, and the social norms surrounding AI use in
    creative communities
  * Skill development, deskilling, and the changing shape of craft
  * Creative labour, displacement, and the economics of creative work
  * Confidence, anxiety, and the psychological dimensions of creative
    practice with AI
  * Accessibility, inclusion, and who gains from generative tools
  * Disciplinary case studies: writing, visual art, music, design, film,
    performance, games
  * Legal, regulatory, and policy responses to AI in the creative 
industries

Contributions from researchers, educators, artists, designers, writers, 
and practitioners are all welcome, as are co-authored chapters and work 
from early-career scholars and postgraduate researchers.Questions of 
authorship, legitimacy, and access are not experienced evenly, and we 
are keen for the collection to reflect that. We particularly welcome 
proposals from scholars and practitioners from marginalised and 
under-represented backgrounds, from outside Anglophone and Global North 
institutions, and from outside well-resourced research environments.

Please submit an abstract of 250–300 words outlining your proposed 
chapter, its argument, and its approach or methodology. Abstracts should 
be accompanied by:

  * A short author biography
  * Institutional affiliation details
  * A list of relevant publications
  * Full contact details (name, email, postal address where applicable)


/For co-authored proposals, please include this information for each 
author and nominate a corresponding author. /*

*
*Stage *
	
*Date *
Abstract submissions due
	
1 February 2027
*First draft due *
	
*1 July 2027*

*
*Accepted chapters should be no more than 5,000 words, inclusive of 
references.

Send abstracts and accompanying materials to 
_AIandCreativityBook@gmail.com_ 
<mailto:(AIandCreativityBook /at/ gmail.com)> with the subject line “AI and 
Creativity—Chapter Proposal”. Enquiries about scope, fit, or process are 
welcome and can be directed to the same address.


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