AUTHOR=Stacchio Lorenzo , Balloni Emanuele , Gorgoglione Lucrezia , Mancini Adriano , Giovanola Benedetta , Tiribelli Simona , Zingaretti Primo TITLE=An ethical framework for trustworthy Neural Rendering applied in cultural heritage and creative industries JOURNAL=Frontiers in Computer Science VOLUME=6 YEAR=2024 URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2024.1459807 DOI=10.3389/fcomp.2024.1459807 ISSN=2624-9898 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.