Call for Chapters on Artificial Media: Emerging Trends in Creativity, Education and Artistic Practice

** Call for Chapters**
ARTIFICIAL MEDIA: Emerging Trends in Creativity, Education and Artistic Practice

**Editors**
Nelson Zagalo (DigiMedia, University of Aveiro) & Damián Keller (NAP, Federal University of Acre, Federal University of Paraíba)

** Important Dates**
Submission of Abstracts: 27 February 2024
Submission of Full Papers: 30 June 2024
Publication of the Book: December 2024

To be published in the book series Springer Series on Cultural Computing, indexed by SCOPUS.

** SCOPE**
In this new book we want to expand the discussion on “Creativity in the Digital Age” (2015), targeting artificial media with an emphasis on the new realms enabled by tools such as generative models (e.g. Dall-E, ChatGPT, Gemini). Previously, we’ve discussed maker technologies supporting human creativity and inventiveness. We want to proceed with an analysis of new media ecosystems that apply generative AI across multiple modalities — text, images, music, speech, code, video, photography or animation.
Today, through simple prompts, anyone can deploy AI assistants to create stories, news, drawings, titles, paintings, photographs, graphics, music, speech or animations. We are at a point of no return, not only changing the domain of text and images but impacting multiple modalities of media ecosystems. Large language models tend to change the face of media design, featuring new layers of creation through combinations of artificial resources and processes. AI assistants furnish guidance to develop new software, in some cases without requiring thorough programming knowledge; skewing extensive musical training, generative tools enable lay people to synthesize and mix sounds; and despite limited compositional skills, computationally assisted novice writers may now draft fictional stories and document reports. These generative techniques foster the creation of new entities we call Artificial Media.
Artificial media have the potential to break the boundaries between human and machine-based creativity (Joshi, 2023). Algorithms materialize realities from pre-existing data based on human activities, calling into question established frameworks in digital creativity. Collective creative processes were until recently limited to the knowledge handled by humans. These processes are now supported by intelligent agents that can gather information from thousands of documents spanning resources shared on the internet. This type of knowledge does not guarantee originality but it opens previously unexplored possibilities of inter-cultural and inter-generational dialogue.
Given the recent advances in techniques and approaches to creative media ecologies, we need to consider the impacts of artificial media on at least three fronts:

• Creative processes transformed by means of generative AI impact the current notions of creativity. What place will human stakeholders occupy in a media-creation pipeline populated by AI agents?
• Adopting generative methods both for producing and assessing content, what will happen to originality and relevance within media-art and design landscapes?
• Despite some claims to the contrary, before the advent of general-purpose tools generative strategies were usually restricted to the niches of specialists. Now some of these tools are furnishing opportunities for creative usage by a wider public. What are the consequences on the conceptual landscape of creativity frameworks?

Artificial media, as potentially infinite multimodal streaming of content, is already resignifying the digital world through pre-existing languages and styles, connecting “scrapism” (Lavigne, 2023) with pastiche and defying established concepts of artistic agency and authorship. These techniques may offer surprises in the short term, but eventually, creators and artists will need to find ways to integrate the recreated resources into consistent media landscapes. This urgent reconfiguration is not motivated just by copyright. Human sensibility, fashion, style and emergent aesthetics are shaped by moment-to-moment social frictions. In turn, these forces shape the creative industries, which, for instance, in Europe, currently provide more employment and added value than the automobile industries

Contributions may focus on creativity, education and artistic practice. Possible topics include, but are not limited to:

• New Crafts Created by Artificial Media
• Multimodal Generative AI Frontiers
• Agency and Artificial Media practices
• Storytelling within Artificial Media
• Artificial Imaginations
• IoT in Artificial Media Contexts
• Ubiquitous music explorations of artificial-media territories
• Artistic Frameworks to implement the use of Generative Tools
• Teaching creativity with generative AI
• News Media Landscape and Artificial Media
• Coding within Artificial Media
• Authorship, Ownership and Copyright in Generative AI
• Ethics and Social Implications of Artificial Media
• Limitations and potential of Extended Reality for Artificial Media
• Disruptions introduced by Generative AI

** References **
Nelson Zagalo & Pedro Branco (Eds.), (2015), Creativity in the Digital Age, in Springer Series on Cultural Computing, Springer-Verlag London, UK, p.269, ISBN: 978-1-4471-6681-8, DOI: 10.1007/978-1-4471-6681-8

Joshi, B (2023). Is Ai Going To Replace Creative Professionals?, ACM Interactions, September – October 2023, Page: 24. URL

Lavigne, S. (2023). Scrapism: A Manifesto. Critical AI. October 2023; 1 (1-2): DOI: https://doi.org/10.1215/2834703X-10734046Instructions for Authors:

**Abstract Submission**

You can submit abstracts (maximum of 500 words, with a tentative title) to the editors, through the e-mail: nzagalo@ua.pt

The Latest JDMI Edition

Skip to content