[Previous message][Next message][Back to index]
[Commlist] Call For Chapters: Artificial Creativity
Thu Sep 25 09:22:33 GMT 2025
*CALL FOR CHAPTERS*
*Book Title (to be published by Springer):
ARTIFICIAL CREATIVITY: THE IMPACT OF GENERATIVE ARTIFICIAL INTELLIGENCE
IN HUMAN CREATIVITY AND THE CREATIVE INDUSTRIES"
*Editors:
Juan Miguel Aguado. Full Professor of Media and
Communication. University of Murcia
Claudio Feijoo. Full Professor of Telecommunications. Technical
University of Madrid
María del Mar Grandio Pérez. Assistant Professor of Media and
Communication. University of Murcia
*Submission Details: *
Interested authors are invited to submit extended chapter
proposals/abstracts
(500 to 600 words), plus author names, institutional
affiliation, email address, and a short bio (150 words) to
*(jmaguado /at/ um.es) <mailto:(jmaguado /at/ um.es)>* on or before
25 November 2025.
*Description:*
As a point of convergence of many of the areas of AI development
(including machine learning, knowledge-based systems, computer vision,
natural language processing and process optimization) Generative AI
(GenAI) is a milestone in the current development of AI. Because of its
power in developing or transforming tools for content creation (and
consumption), GenAI is also revolutionizing the creative industries,
fostering creativity as a capacity to merchandise. AI applications are
revolutionizing all elements of the creative industries value chain:
from creation and production (challenging the very notion of creativity)
to consumption (taking recommendation systems and content
personalization to a new level), distribution channels, audience data
mining, programmatic and contextual advertising, content inventory
management and discoverability, marketing and transmedia strategies,
etc. (Aguado y Grandío, 2023).
Due to its rapid evolution in the first half of the 2020s GenAI has
emerged as a disruptive factor in the creative industries and media
ecosystems (Christensen, 2015; Isomäki, 2017), not only redefining the
boundaries of human creativity and artistic innovation, but disrupting
the very logics of media, art, and entertainment industries as well.
GenAI’s disruptive influence is twofold: On one side it contributes to
enhancing the creative process and to democratizing access to creative
tools, empowering individuals regardless their background or expertise
to engage in creative endeavors. This, in the end, may result in a
greater democratisation of the creative agency in the digital
environment associated to a de-intermediation or even the dissolution of
entry-barriers in creative endeavors (something that the Internet and
the social networking model have already brought about). This potential
universalisation of creative capacities may, in principle, favour
originality and diversity (Manovich, 2024), but it could also result in
a subsequent re-intermediation (as it occurred with the platform
economy) and an over-emphasis on standardized aesthetics and mainstream
proposals, forcing in any case to rethink digital content distribution,
consumption and monetisation models (Edgell, 2024).
On the other side, GenAI poses significant challenges for media and
creative industries. Transversal, systemic questions arise regarding the
nature of the creative act, the role of the creator and his/her
remuneration in current distribution models (e.g. streaming platforms),
the redefinition of intellectual property and the concept of derivative
work, the potential massive flood of AI-generated content to
distribution models, the consequences of hyper-personalization of
artificial content specifically created for the profiled user, the
difficulties to ensure diversity and authenticity of cultural products
in an AI-accelerated mass market, or the ethical questions regarding
certain uses of AI applications, such as image and voice deep fakes,
impersonation or fraud, where traceability of content and responsibility
for its consequences become blurred (de-Lima-Santos & Ceron, 2021;
Walkowiak & Potts, 2024).
The profound shift in creative processes within AI-enhanced societies
necessitates a nuanced, interdisciplinary understanding of this
transformative disruption.
This book seeks to explore the deep and multifaceted impact of GenAI on
the creative industries and human creativity from an interdisciplinary
perspective, examining:
1. Its implications in the very idea of creativity and the role that
tools, technologies, computational capacities, and data availability
might play in fostering or arresting its development.
2. Its implications for the different players of the creative ecosystem
(artists, designers, writers, musicians, labels, digital platforms,
legacy media, users…) and
3. Its implications for the very dynamics of the creative industries
ecosystem (by changing interactions and players’ participation).
To do so, this monograph intends to gather a wide group of selected
authors with expertise in social, philosophical, psychological,
political, economic, aesthetic, and communicational implications of
generative GenAI based in universities and research institutions from
all over the World.
The topics within this proposal include (but are not limited to):
* Ethical challenges of AI-generated content
* Philosophical and epistemic challenges of AI-generated content:
redefinitions of codification, translation, and representation
* Psychology of creativity and AI
* Artificially created images and visual art
* Artificial literature and writing/publishing
* AI and Copyright and intellectual property rights
* Human-machine collaboration in creative endeavors
* Impact of Generative AI on traditional creative processes: cinema,
television, video creation, photography, comic, advertising and
strategic communication, branded content, videogames, fashion, art,
creative journalism, Interactive Digital Narratives, Immersive
Narratives, etc.
* Cultural and aesthetic implications of AI-generated content
* AI and influence industries: dark PR, disinformation, polarisation
and the transformation of the information ecosystems.
* Future scenarios of AI-influenced creative industries
* AI-generated content and users’ sphere: new ways of consumption,
limits of personalization and other problems associated with
AI-mediated reception.
* Ethical frameworks for GenAI in the creative and media industries
* Regulation and governance of AI in creative industries
* Economic implications for creators and industries: Content platforms
and AI, legacy media and AI, User-centered channels and AI…
* Technological advancements shaping the future of Generative AI
* AI-influenced creative industries and digital wellbeing
Notifications of acceptance are expected end December 2025-January 2026.
Chapters will be peer-reviewed after a pre-selection of contributions
upon extended abstracts.
*Bibliography (Selected) *
Aguado, J. M.; Grandío, M. M. (2023). Hacia una ecología mediática de la
IA generativa: la obra creativa en la erade la automatizació. Palabra
Clave. 1 – 27, pp. 1 – 23. (Colombia): 2024.
https://doi.org/10.5294/pacla.2024.27.1.8
Amato, G., Behrmann, M., Bimbot, F., Caramiaux, B., Falchi, F., Garcia,
A., ... & Vincent, E. (2019). AI in the media and creative industries.
arXiv preprint arXiv:1905.04175.
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the
creative industries: a review. Artificial intelligence review, 55(1),
589-656. https://doi.org/10.1007/s10462-021-10039-7
Barykin, S. Y., Kapustina, I. V., Kirillova, T. V., Yadykin, V. K., &
Konnikov, Y. A. (2020). Economics of digital ecosystems. Journal of Open
Innovation: Technology, Market, and Complexity, 6(4), 124.
https://doi.org/10.3390/joitmc6040124 Born, G., Morris, J., Diaz, F., &
Anderson, A. (2021). Artificial intelligence, music access, and the
curation of culture. University of Toronto. https://shre.ink/8tNg
DCMSC (Digital, Culture, Media and Sport Committee). (2023). Culture
Secretary and creative industries to discuss AI. GOV.UK.
https://shre.ink/8tpF
de-Lima-Santos, M. F., & Ceron, W. (2021). Artificial intelligence in
news media: current perceptions and future outlook. Journalism and
media, 3(1), 13-26. https://doi.org/10.3390/journalmedia3010002
Dinesh Deckker, Subhashini Sumanasekara (2025). A Review of Ai-Powered
Creativity: The Intersection of Ai and the Arts. International Journal
of Global Economic Light. https://doi.org/10.36713/epra20968
EC: European Commission, Directorate-General for Communications
Networks, Content and Technology, Izsak, K., Terrier, A., Kreutzer, S.
et al., Opportunities and challenges of artificial intelligence
technologies for the cultural and creative sectors, Publications Office
of the European Union, 2022, https://data.europa.eu/doi/10.2759/144212
Eric Zhou, Dokyun Lee (2024). Generative artificial intelligence, human
creativity, and art. PNAS Nexus. https://doi.org/10.1093/pnasnexus/pgae052
Forde, E. (2023). AI of the storm: Artificial Intelligence and the music
industry in 2023. Synchtank.
G. Minni, Sayyed Nagulmeera, B. B. Lakshmi, Nagul Shaik (2024).
Generative AI: Exploring the Applications of Generative Models in
Creative Industries. International Journal of Emerging Research in
Engineering, Science, and Management.
https://doi.org/10.58482/ijeresm.v3i3.5
Manovich, L. (2018). AI aesthetics. Moscow: Strelka press.
Martínez Martínez, I. J., Aguado, J. M. y Sánchez Cobarro, P.H. (2022).
Smart Advertising: AI-Driven Innovation and Technological Disruption in
the Advertising Ecosystem, 80, 69-90. SJR Q1
https://www.doi.org/10.4185/RLCS-2022-1551
Mete Ismayilzada, Debjit Paul, Antoine Bosselut, Lonneke van der Plas
(2024). Creativity in AI: Progresses and Challenges. arXiv.org.
https://doi.org/10.48550/arXiv.2410.17218
Naomi Isabiry, Lateef Amusa, Trevor Rammitlwa and Hossana Twinomurinzi
(2025). “The Future of Work: Evaluating Job” In: Susceptibility in the
Creative Industries. NEMISA DigitalSkills 2024 (EPiC Series in Education
Science, vol. 6), pp. 117–133. https://doi.org/10.2139/ssrn.4594824
Ramdurai, B., & Adhithya, P. (2023). The impact, advancements and
applications of generative AI. International Journal of Computer Science
and Engineering, 10(6), 1-8.
https://doi.org/10.14445/23488387/IJCSE-V10I6P101
Zylinska, J. (2024). After AI Art. View: Theories & Practices of Visual
Culture/Widok: Teorie I Praktyki Kultury Wizuanlnej, 38.
https://doi.org/10.36854/widok/2024.38.2870
Zylinska, J. (2024). Diffused seeing: the epistemological challenge of
generative AI. Media Theory.
---------------
The COMMLIST
---------------
This mailing list is a free service offered by Nico Carpentier. Please use it responsibly and wisely.
--
To subscribe or unsubscribe, please visit http://commlist.org/
--
Before sending a posting request, please always read the guidelines at http://commlist.org/
--
To contact the mailing list manager:
Email: (nico.carpentier /at/ commlist.org)
URL: http://nicocarpentier.net
---------------
[Previous message][Next message][Back to index]
