CYMar 24

Integrating GenAI in Filmmaking: From Co-Creativity to Distributed Creativity

arXiv:2603.234155.1h-index: 2
Predicted impact top 61% in CY · last 90 daysOriginality Synthesis-oriented
AI Analysis

This reframes AI's role in filmmaking for researchers and practitioners, but it is incremental as it builds on existing sociomaterial theories.

The paper argues that Generative AI in filmmaking is not a radical break but part of a historical negotiation between creative labor and technology, showing how it reconfigures roles, temporalities, and aesthetics by analyzing it as a distributed process.

The integration of Generative AI (GenAI) into audio-visual production is often presented as a radical break from past traditions. However, through a sociomaterial and historical lens, this paper argues that GenAI represents a new development in the long-standing negotiation between creative labor and technological possibilities. Moving beyond the limiting framework of human-machine co-creativity, we adopt an STS-based approach to investigate creativity in the making within the Filmmaking industry. We analyze Filmmaking as a distributed process where agency is shared across diverse human experts and non-human actors, showing how technological innovations have historically reconfigured Filmmaking practices long before the advent of AI. The article introduces an analytical taxonomy of GenAI techniques to illustrate how these technologies do not merely "assist" but can actively reconfigure professional roles, production temporalities, and film aesthetics. By linking sociomaterial configurations to aesthetic outcomes, this reframing suggests that AI technologies in Filmmaking should be seen as mediators that could enable new aesthetic possibilities by blurring the boundaries of traditional filmmaking workflows.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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