AI paper index
Generative AI and the documentary archive: creative opportunities and ethical abuses
One-line summary
An AI research paper on Generative AI and the documentary archive: creative opportunities and ethical abuses.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充:本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
One of the most innovative uses of AI in documentary filmmaking has been its deployment in animating the audio archive (Lees, 2023), for instance enabling in-vision interviews to be generated from twentieth century sound recordings. More recently, Generative AI has been deployed to manipulate archival photographs, however such uses by documentarists have led, in certain cases, to storms of controversy (What Jennifer Did, Jenny Popplewell 2024). This chapter examines the practices of documentary filmmakers using AI to alter or augment archival sources, and the ethical issues raised. It develops a theoretical approach to the documentary archive in the age of AI, arguing that Jamie Baron’s concept of the ‘archive effect’ (2014) can now be updated to describe a new ‘GenAI archive effect’, in which the spectator reflects on the realism of the fake, sometimes indistinguishable from actuality video.
Links and sources
Need this topic turned into a technical roadmap?
aipentium can prepare a custom AI literature review, code map, dataset map, and B2B technology assessment.
Request B2B AI research
Comments