Artificial intelligence applications in media archives

Autores/as

  • Virginia Bazán-Gil Radiotelevisión Española. Universidad Carlos III de Madrid

DOI:

https://doi.org/10.3145/epi.2023.sep.17

Palabras clave:

Artificial intelligence, AI, Media archives, Television archives, Audiovisual archives, Audiovisual documentation, Speech technologies, Natural language processing, Metadata, Media, Radio, Television, FIAT/IFTA

Resumen

The aim of this paper is to present an international overview of the use of artificial intelligence in the context of media archives in broadcasters, preservation institutions and press agencies, through a comprehensive analysis of sources primarily focusing on case studies presented at international conferences and seminars, together with the results of the survey on the use of artificial intelligence conducted by FIAT/IFTA. Once the most commonly used technologies have been defined and we have identified the stages of the production workflow in which they are used, we will discuss the specific applications of these technologies in television archives, audiovisual heritage preservation organisations, press agencies and innovation projects where technology vendors and media companies collaborate. Finally, we will deal with the challenges related to the implementation of AI in media archives, the need for datasets in the development of language models, and the relevance of a sensible use of technology. 

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Publicado

2023-09-27

Cómo citar

Bazán-Gil, V. (2023). Artificial intelligence applications in media archives. Profesional De La información, 32(5). https://doi.org/10.3145/epi.2023.sep.17

Número

Sección

Artificial Intelligence