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An ethical framework for trustworthy Neural Rendering applied in cultural heritage and creative industries

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  • Additional Information
    • Contributors:
      Stacchio, Lorenzo; Balloni, Emanuele; Gorgoglione, Lucrezia; Mancini, Adriano; Giovanola, Benedetta; Tiribelli, Simona; Zingaretti, Primo
    • Publication Information:
      FRONTIERS
      CHE
      Lausanne
    • Publication Date:
      2024
    • Collection:
      Università di Macerata: UniMC - Pubblicazioni Aperte Digitali (U-PAD)
    • Abstract:
      Artificial Intelligence (AI) has revolutionized various sectors, including Cultural Heritage (CH) and Creative Industries (CI), defining novel opportunities and challenges in preserving tangible and intangible human productions. In such a context, Neural Rendering (NR) paradigms play the pivotal role of 3D reconstructing objects or scenes by optimizing images depicting them. However, there is a lack of work examining the ethical concerns associated with its usage. Those are particularly relevant in scenarios where NR is applied to items protected by intellectual property rights, UNESCO-recognized heritage sites, or items critical for data-driven decisions. For this, we here outline the main ethical findings in this area and place them in a novel framework to guide stakeholders and developers through principles and risks associated with the use of NR in CH and CI. Such a framework examines AI's ethical principles, connected to NR, CH, and CI, supporting the definition of novel ethical guidelines.
    • File Description:
      FORMATO ELETTRONICO (nel caso di documento pubblicato on-line)
    • Relation:
      volume:6; firstpage:1; lastpage:13; numberofpages:13; journal:FRONTIERS IN COMPUTER SCIENCE; https://hdl.handle.net/11393/341952
    • Accession Number:
      10.3389/fcomp.2024.1459807
    • Online Access:
      https://hdl.handle.net/11393/341952
      https://doi.org/10.3389/fcomp.2024.1459807
      https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2024.1459807
    • Rights:
      info:eu-repo/semantics/openAccess
    • Accession Number:
      edsbas.C414D07