June 1, 2026

Online

Deadline: April 1, 2026

The growing complexity arising from the integration of Generative Artificial Intelligence (GenAI) into creative practices requires equally complex theoretical, conceptual, and methodological approaches across different disciplines and fields of research (Ruszev et al. 2025). Likewise, the functionalities of the new generative models, its multi-level adoption, and the expanding range of uses, establish a paradigm that goes beyond the generation of isolated outputs towards a complete reconfiguration of creative workflows (Santoso & Wijayanti, 2024; Valverde-Valencia, 2025).

In this context, the notion of workflow seems to call for a renewed approach, distinct from more traditional uses and definitions. Traditionally envisioned as a sequential organization to complete any type of work (Oxford UP; Cambridge UP), the concept has been expanded to accommodate the complexity of human-technology relationships within production processes, focusing on the design, coordination and adaptation of work processes through and with technology (Nicoll and Keogh, 2019). The emergence of Generative AI and its integration into creative practices requires a further expansion of this concept to encompass notions such as distributed agency (Celis Bueno et al. 2024) or Human-AI collaboration (Geroimenko, 2025), which frame these processes not as sequential but as dynamic and co-evolutionary (Moruzzi, 2023). Therefore, Human-AI creative workflows can be understood as an entanglement of relationships between actors, practices, and artifacts that includes mutual learning, feedback loops, iteration, strategies and social, ethical, and labour implications. However, this renewed interest in the concept of workflow also raises new questions: How is learning organized and performed in these iterative processes? How do the stages of creative work adapt when Generative AI plays a role in the process? How can the labour implications of these changes be addressed? How do we negotiate value and authenticity when creative agency is distributed? How can we redefine and reimagine the concept of workflows? And conversely, how this might change our understanding of creativity?

Considering these questions and the challenges posed by Generative AI in creative fields, this International Online Symposium on Human-AI Creative Workflows aims to bring together scholars, professionals and creative practitioners who are embracing complex approaches to the study of these topics. More specifically, we invite proposals that address, but are not limited to, the professional fields such as the Audiovisual Industry, Visual Arts, Videogames, Journalism, Music or Advertising while connecting with the following lines of interest:

• Educational approaches: Teaching-learning processes, contexts and strategies in Human-AI Creation and the role of AI Literacy.
  
• The political economy of Human-AI workflows: monopolisation of workflows (Young et al. 2025), Human-AI co-creation from the perspective of labour, shifts in industry dynamics, business models, and labour conditions.
  
• Agency and Authorship: How is the authorship framed in Human-AI Creativity? Negotiations of control and autonomy in collaborative workflows.
  
• Conceptual contributions: How to redefine the concept of workflow?; which novel theoretical frameworks can we deploy to examine this phenomenon?
  
• Case studies: Case studies on GenAI implementation in studios, newsrooms, agencies... Resistance, workarounds, and/or adoption patterns.