Generative Artificial Intelligence and Film Production: A Media Educational Approach
Hackin, Sarah
Promotor(s) :
Hamers, Jeremy
Date of defense : 25-Aug-2025/4-Sep-2025 • Permalink : http://hdl.handle.net/2268.2/24981
Details
| Title : | Generative Artificial Intelligence and Film Production: A Media Educational Approach |
| Author : | Hackin, Sarah
|
| Date of defense : | 25-Aug-2025/4-Sep-2025 |
| Advisor(s) : | Hamers, Jeremy
|
| Committee's member(s) : | Mayeur, Ingrid
Provenzano, François
|
| Language : | English |
| Number of pages : | 107 |
| Discipline(s) : | Social & behavioral sciences, psychology > Communication & mass media |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Degree: | Master en communication multilingue, à finalité spécialisée en digital media education |
| Faculty: | Master thesis of the Faculté de Philosophie et Lettres |
Abstract
[en] The aim of this work is to discuss the use of generative AI in film production, with a particular focus on scriptwriting. The first research question of this dissertation is: Can AI generate scripts without reproducing biases and stereotypes? To answer this question I will analyze three films whose scripts were generated by AI. The second research question deals with media education, and is therefore: Should media education tackle AI-generated films? This will be answered following a specific path: first analyzing how media education has previously addressed film and AI, then reflecting on the ways AI-generated films could be integrated in the field and how media educators should adapt the it to the changes posed by the use of GenAI in film production. Finally, I will discuss how media education can help in tackling the concern of potential AI bias in film.
File(s)
Document(s)
Cite this master thesis
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.

Master Thesis Online


All files (archive ZIP)
TFE_HACKINSarah.pdf