How to Integrate Artificial Intelligence in Documentary Filmmaking
DOI:
https://doi.org/10.37130/mbk52723Keywords:
Artificial Intelligence, Documentary Filmmaking, Narrative Architecture, Mixed Reality, Algorithmic Authorship, Immersive Media, AI-assisted Production, Epistemology, Storytelling Ethics, Creative AutomationAbstract
The integration of artificial intelligence (AI) into documentary filmmaking no longer functions merely as a technological add-on but signals a profound epistemological shift: the transition from singular authorship to algorithmic co-agency. This study, developed from a masterclass delivered as part of the Ex Oriente program at the Leipzig Institute of Documentary (2024), and extended through applied experiments in AI- assisted production, offers a critical framework for understanding how AI reconfigures each phase of the documentary pipeline—from pitching to post-production.
Rather than evaluating tools like ChatGPT, MidJourney, ElevenLabs, Sora, Flux, and Largo.AI solely in terms of technical utility, this article conceptualizes them as cognitive and anticipatory interfaces within the narrative architecture of the documentary form. It interrogates the ethical, aesthetic, and structural implications of human-AI collaboration, especially within the economic constraints of independent productions and in relation to emerging norms of factual storytelling and credibility.
Drawing on real-world applications—including the prototypical pitch Lost Fragments: Archives of War, the creation of a fully AI-generated promotional spot for the festival Our World: A Crisis of Meaning, and the algorithmic selection of the author’s own script by Largo. AI at the 2025 Marché du Film in Cannes—this study reconceptualizes AI as an epistemic partner. Rather than diminishing creativity, AI redistributes and refracts it through probabilistic, generative, and participatory processes. Ultimately, the article offers a transdisciplinary methodological map that positions AI not as a passive tool, but as an active narrative negotiator—one capable of reshaping documentary aesthetics, representational ethics, and future modes of authorship.
References
Balsamo, A. (2011) Designing culture: The technological imagination at work. Duke University Press. DOI: https://doi.org/10.1515/9780822392149
Blanke, T. (2021) Digital humanities and the politics of attention. Springer.
Cohn, G. (2023) “Prompting the machine: Designing epistemic agency in creative AI systems,” in Journal of Creative Media Research, 8(2), pp. 112–126.
Crawford, K. (2021) Atlas of AI: Power, politics, and the planetary costs of artificial intelligence. Yale University Press. DOI: https://doi.org/10.12987/9780300252392
el Kaliouby, R., & Picard, R. W. (2010) “Emotion recognition using computational features of head and eye movement,” in Proceedings of the International Conference on Multimodal Interfaces (pp. 137–140). ACM.
Floridi, L., & Cowls, J. (2019) “A unified framework of five principles for AI in society,” in Harvard Data Science Review, 1(1). https://doi.org/10.1162/99608f92.8cd550d1. DOI: https://doi.org/10.1162/99608f92.8cd550d1
Guerrero-Solé, F. (2022) “Artificial intelligence in audiovisual content production: Uses, impact, and regulation,” in Digital Journalism, 10(3), pp. 396–414. https://doi.org/10.1080/21670811.2021.1945047.
Hussain, A. (2024) “Ethical frameworks in AI-driven creative practices,” in AI & Society, 39(1), pp. 45–61. https://doi.org/10.1007/s00146-023-01629-0.
Malabou, C. (2022) Morphing intelligence: From IQ measurement to artificial brains. Columbia University Press.
McCormack, J., & Gifford, T. (2022) “Designing with machines: Dialogic co-creation in generative systems,” Digital Creativity, 33(1), pp. 1–15. https://doi.org/10.1080/14626 268.2022.2029919.
Russell, C. (1999) Experimental ethnography: The work of film in the age of video. Duke University Press. DOI: https://doi.org/10.1515/9780822396680
Sun, Y. (2024) “Artificial intelligence in film production: An industrial transformation,” in Media Industries Journal, 11(1), pp. 23–41.
Sundar, S. S., et al. (2021) “Automated creativity and human–AI collaboration in film editing,” in Journal of Broadcasting & Electronic Media, 65(3), pp. 468–485. https://doi.org/10.1080/08838151.2021.1954046.
Tryon, C. (2020) “Post-production prediction: Algorithms and the new digital cinema,” in Film Criticism, 44(2), Article 4. https://doi.org/10.3998/fc.13761232.0044.204.
Uricchio, W. (2015) “Data and the documentary: Nonfiction narrative in the age of big data,” in B. Winston (Ed.), The documentary film book (pp. 351–362). Palgrave Macmillan.
Wachter, S., Mittelstadt, B., & Floridi, L. (2023) “Why a right to explanation of automated decision-making does not exist in the General Data Protection Regulation,” in International Data Privacy Law, 7(2), pp. 76–99. https://doi.org/10.1093/idpl/ipx005. DOI: https://doi.org/10.1093/idpl/ipx005
Wang, Y., Zhao, X., & Ma, H. (2022) “AI-assisted cinematography using real-time scene analysis,” in ACM Transactions on Multimedia Computing, Communications, and Applications, 18(4), Article 92. https://doi.org/10.1145/3506693. DOI: https://doi.org/10.1145/3506693
