Aug 2026· AI & SOCIETY· 0 citations· 13 references
TL;DR
A historical analysis of three cases in which an emerging technology promised to automate aspects of creative production and found that whether and how a technology is understood as "automating" by different sets of actors is not simply a technical determination but a culturally constructed one, shaped by competing narratives among workers, management, and the public.
Abstract
Recent discourse around generative artificial intelligence has characterized its implications for creative labor as wholly unprecedented. This article challenges that framing by situating generative A.I. within a longer history of technological change in Hollywood. We conduct a historical analysis of three cases in which an emerging technology promised to automate aspects of creative production: the spread of motorized film projectors in the early 1900s, the rise of computer-based editing software in the mid-1980s, and the introduction of screenwriting software in the late 1980s. Through a content analysis of newspaper and industry trade publications, this analysis finds that whether and how a technology is understood as "automating" by different sets of actors is not simply a technical determination but a culturally constructed one, shaped by competing narratives among workers, management, and the public. Each case is characterized by a different kind of narrative conflict: projectionists fought over the definition of professional skill; film editors confronted accelerated workflows and managerial interference; and screenwriters policed barriers to entry against would-be "hacks." In each of these narrative conflicts, we point to patterned similarities to and differences from contemporary conflicts over generative A.I. in Hollywood.
This article explores how expert practitioners sustain, redefine, and sometimes resist aesthetic standards in an era of algorithmic co-creation of GenAI by identifying how expert practitioners sustain, redefine, and sometimes resist aesthetic standards in an era of algorithmic co-creation.
The article proposes a critical, feedback-based understanding of human–AI interaction, claiming that AI becomes artistically valuable only when kept visible as a contestable tool rather than accepted as a substitute for artistic judgement.
Advertising agencies should integrate generative AI through reflective routines that preserve human judgment, professional learning and junior skill development through reflective routines that preserve human judgment, professional learning and junior skill development.
Mario D'Arco, Orlando Troisi, G. Maione· The TQM Journal· 0 citations
The findings indicate that these platforms do not eliminate creative agency but render it discursively ambiguous by offering users a symbolic creative subject position while obscuring the distributed agency underlying production.
Uğur Baloğlu· OPUS Journal of Society Rese...· 0 citations
A conceptual analysis of AI-generated music as a sociotechnical practice that reshapes not only ideas of creativity and authorship, but also the material conditions under which human artists work is developed.
It is argued that current generative AI systematically favors combinatorial creativity while offering weaker support for transformational creativity, and that HCI should evaluate AI tools not only by the quality of creative outputs they enable but by the distribution of creative types they support, privilege, or suppre...
Peter Dalsgaard· Proceedings of the 14th Nord...· 0 citations
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