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Animating an Archive: AI and the Limits of Cultural Heritage Interpretation

Research output: Contribution to conferencePaperpeer-review

Abstract

This paper explores the potential and limitations of artificial intelligence in animating and interpreting cultural heritage, focusing on the project Brosch AI – Distorted Dreams, an AI-animated short film based on the works of Austrian artist Klemens Brosch. The project utilizes AI technologies such as diffusion models and generative adversarial networks to transform archival drawings into animated visuals, balancing authentic reinterpretations with intentional artistic distortions. Through detailed analysis and practical experimentation, the paper highlights significant challenges in realistically animating figures and maintaining stylistic fidelity. Embracing these animation errors as artistic interventions, the project aligns with Brosch’s psychological themes and biographical context. The discussion critically addresses broader implications regarding authorship, originality, and technology’s role in cultural heritage preservation and creative interpretation, advocating for a nuanced understanding of digital heritage practices.
Original languageEnglish
Pages149-156
Number of pages8
DOIs
Publication statusPublished - 5 Nov 2025

Keywords

  • animation
  • archive
  • art
  • artificial intelligence
  • deep learning
  • digital heritage
  • generative AI
  • media art

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