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      Developing Smart Archives in Society 5.0: Leveraging Artificial Intelligence for Managing Audiovisual Archives in Africa

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      UnisaRxiv
      UNISA Press
      Artificial Intelligence, Audiovisual Archives, Nature conservation, Postmodernism, Society 5.0

            Abstract

            In the age of Society 5.0, marked by the profound integration of digital technologies and human society, the preservation and management of audiovisual archives in Africa face substantial challenges. The application of artificial intelligence (AI) plays a pivotal role in the establishment of digital archives in Society 5.0. The exponential growth of digital content, combined with the continent’s diverse cultural landscape, presents complex obstacles to conventional archival practices. Without the effective implementation of artificial intelligence technologies, crucial aspects such as curation, accessibility and sustainable management of audiovisual archives in Africa remain hindered. Thus, the overarching problem under scrutiny pertains to how the establishment of intelligent archives, facilitated by artificial intelligence (AI), can offer innovative solutions for preserving and managing audiovisual archives in Africa within the overarching framework of Society 5.0. This approach has the potential to significantly contribute to safeguarding Africa’s rich cultural heritage and advancing research, education and cultural exchange. The purpose of this article is to focus on the challenges encountered by selected African countries in managing their audiovisual collections and what can be done to facilitate AI. It resulted in the formulation of a framework for implementing smart archives using AI in African contexts, emphasising practical strategies and best practices.

            Content

            Author and article information

            Journal
            UnisaRxiv
            UNISA Press
            12 March 2024
            Affiliations
            [1 ] University of South Africa;
            Author notes
            Author information
            https://orcid.org/0000-0002-8033-016X
            https://orcid.org/0000-0003-2843-0056
            Article
            10.25159/UnisaRxiv/000072.v1
            e03bd9cd-30ec-42a6-8547-ca8f01988f1b

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 12 March 2024
            : 13 March 2024
            Categories

            All data generated or analysed during this study are included in this published article (and its supplementary information files).
            Social & Behavioral Sciences
            Society 5.0,Postmodernism,Nature conservation,Audiovisual Archives,Artificial Intelligence

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