Generative Artificial Intelligence and Film Production: A Media Educational Approach
Hackin, Sarah
Promoteur(s) :
Hamers, Jeremy
Date de soutenance : 25-aoû-2025/4-sep-2025 • URL permanente : http://hdl.handle.net/2268.2/24981
Détails
| Titre : | Generative Artificial Intelligence and Film Production: A Media Educational Approach |
| Auteur : | Hackin, Sarah
|
| Date de soutenance : | 25-aoû-2025/4-sep-2025 |
| Promoteur(s) : | Hamers, Jeremy
|
| Membre(s) du jury : | Mayeur, Ingrid
Provenzano, François
|
| Langue : | Anglais |
| Nombre de pages : | 107 |
| Discipline(s) : | Sciences sociales & comportementales, psychologie > Communication & médias |
| Institution(s) : | Université de Liège, Liège, Belgique |
| Diplôme : | Master en communication multilingue, à finalité spécialisée en digital media education |
| Faculté : | Mémoires de la Faculté de Philosophie et Lettres |
Résumé
[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.
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