Ανθρώπινο ή Τεχνητό; Εντοπισμός Περιεχομένου Τεχνητής Νοημοσύνης σε Μουσική, Αφήγηση και Βίντεο


Δημοσιευμένα: Φεβ 24, 2026
Λέξεις-κλειδιά:
Artificial Intelligence Content Production Speech Music Video
Lazaros Vrysis
George Kalmpourtzis
Dimitrios Vrysis
Ifigeneia Tsolaki
Kemi Oyesola
Saint-Clair Lefèvre
Anna Podara
Dimitrios Damopoulos
Aya Sugiura
Wen Boun-Nhang
Fabiola Fick
Περίληψη

This work examines the role of Artificial Intelligence (AI) in the automatic generation of narratives, music, and video, and explores how audiences perceive, evaluate, and distinguish content produced by AI versus that created by humans. The study draws on examples from state-of-the-art tools such as ElevenLabs (for synthetic speech), Suno (for music production), and Revid.ai (for video creation). The research employs a survey, inviting participants to evaluate pairs of content and to express their preferences and opinions—without prior knowledge of their origin. The study is ongoing and aims to contribute to the dialogue on the aesthetic, ethical, and technological dimensions of AI in cultural production, particularly within the context of the Fifth Industrial Revolution.

Λεπτομέρειες άρθρου
  • Ενότητα
  • 4ο Ελληνόφωνο Επιστημονικό Συνέδριο Εργαστηρίων Επικοινωνίας
Αναφορές
Adams, P. (2024, December 17). Consumers call AI-generated video ads annoying, confusing, per NIQ. Marketing Dive. https://www.marketingdive.com/news/consumer-perceptions-generative-ai-in-marketing-openai-sora/735761/
Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: a review. Artificial intelligence review, 55(1), 589-656.
Bagratuni, M., Müller, P., & Planing, P. (2025). Innovation in tune: An empirical investigation of user acceptance of artificial intelligence-generated music. Computers in Human Behavior Reports, 18, 100660.
Bakkouche, L., McGhee, C., Lau, E., Cooper, S., Luo, X., Rees, M., ... & Schwarz, J. (2025). Finding the Human Voice in AI: Insights on the Perception of AI-Voice Clones from Naturalness and Similarity Ratings. Interspeech 2025.
Barrington, S., Cooper, E. A., & Farid, H. (2025). People are poorly equipped to detect AI-powered voice clones. Scientific Reports, 15(1), 11004.
Cooke, D., Edwards, A., Barkoff, S., & Kelly, K. (2024). As Good As A Coin Toss: Human detection of AI-generated images, videos, audio, and audiovisual stimuli. arXiv preprint arXiv:2403.16760.
ElevenLabs. (2024). AI voice generation platform. https://www.elevenlabs.io
Floridi, L., & Chiriatti, M. (2020). GPT-3: Its nature, scope, limits, and consequences. Minds and machines, 30(4), 681-694.
Frank, J., Herbert, F., Ricker, J., Schönherr, L., Eisenhofer, T., Fischer, A., ... & Holz, T. (2024, May). A representative study on human detection of artificially generated media across countries. In 2024 IEEE Symposium on Security and Privacy (SP) (pp. 55-73). IEEE.
Hashmi, A., Shahzad, S. A., Lin, C. W., Tsao, Y., & Wang, H. M. (2024). Unmasking illusions: Understanding human perception of audiovisual deepfakes. arXiv preprint arXiv:2405.04097.
Collins, K. C., Manji, A. (2024), Humanizing AI-Generated Music: Do Listeners Hear the Difference? (2024). In Audio Engineering Society Convention 156. Audio Engineering Society.
Köbis, N., & Mossink, L. D. (2021). Artificial intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry. Computers in human behavior, 114, 106553.
Lecamwasam, K., & Chaudhuri, T. R. (2025). Exploring listeners' perceptions of AI-generated and human-composed music for functional emotional applications. arXiv preprint arXiv:2506.02856.
Nearly 90% of Consumers Want Transparency on AI Images finds Getty Images Report. (2024, July 2). Getty Images Press Site - Newsroom - Getty Images. https://newsroom.gettyimages.com/en/getty-images/nearly-90-of-consumers-want-transparency-on-ai-images-finds-getty-images-report
Netland, T., von Dzengelevski, O., Tesch, K., & Kwasnitschka, D. (2025). Comparing human-made and AI-generated teaching videos: An experimental study on learning effects. Computers & Education, 224, 105164.
Revid.ai. (2024). AI video generator from scripts. https://www.revid.ai
Sarmento, P., Loth, J., & Barthet, M. (2024). Between the AI and Me: Analysing Listeners' Perspectives on AI-and Human-Composed Progressive Metal Music. arXiv preprint arXiv:2407.21615.
Shabur, M. A., Shahriar, A., & Ara, M. (2025). From automation to collaboration: exploring the impact of industry 5.0 on sustainable manufacturing. Discover Sustainability, 6(1), 1-23.
Skjegstad, C., & Frühholz, S. (2024, June 26). Our brains respond differently to human and AI-generated voices. EurekAlert!
Song, J. Y., Rojas, C., & Pycha, A. (2025). Factors modulating perception and production of speech by AI tools: a test case of Amazon Alexa and Polly. Frontiers in psychology, 16, 1520111.
Suno AI. (2024). Create songs with AI. https://www.suno.ai
Vrysis, L., Vryzas, N., Siamtanidou, E., & Dimoulas, C. (2024). AI-powered automations in media production. 3rd Conference of Communication Labs.
Zhang, Y., Lucas, M., Bem-haja, P., & Pedro, L. (2025). AI versus human-generated voices and avatars: rethinking user engagement and cognitive load. Education and Information Technologies, 1-20.
Ziatdinov, R., Atteraya, M. S., & Nabiyev, R. (2024). The fifth industrial revolution as a transformative step towards society 5.0. Societies, 14(2), 19.