Abstract
Generative AI, in particular large language models such as ChatGPT, have enabled broad application of AI in everyday life. While text-generating AI approaches are already widely used by the general public, the application of audio-visual generative AI is lagging behind. Audio-visual generative AI seems particularly suitable for knowledge sharing purposes, i.e., to provide serious content. Thus, this paper evaluates state-of-the-art audio-visual generative AI approaches, i.e., text-to-video, and their suitability for communicating serious content effectively. In a small proof-of-concept, several self-proclaimed AI-based video generation tools have been tested. Based on a sample video, we also assessed the uncanniness of AI-generated videos, to clarify their applicability for serious content, i.e., training and education, as we assume this might influence the perception of the content.
Recommended Citation
Janusch, Ines and Currle, Simon, "AI’S LIMITS IN GENERATING AUDIO-VISUAL MEDIA FOR COMMUNICATION OF SERIOUS CONTENT" (2025). CONF-IRM 2025 Proceedings. 4.
https://aisel.aisnet.org/confirm2025/4