AI-Generated Images as an Emergent Record Format

Publication Date

1-22-2024

Document Type

Conference Proceeding

Publication Title

2023 IEEE International Conference on Big Data (BigData)

Conference Location

Sorrento, Italy

DOI

10.1109/BigData59044.2023.10386946

First Page

2020

Last Page

2031

Abstract

AI-generated Images are disrupting existing approaches to verifying the trustworthiness of visual media. The application of generative AI in fields in which images are trusted visual evidence of persons, actions and events is drawing the attention of archival scientists and AI researchers. A literature review of AI-generated images as an emergent record format, identified an absence of archival and recordkeeping knowledge. Analysis of the results revealed six thematic categories: authenticity and verifiability; manipulation and misinformation; bias and representation; attribution and intellectual property; transparency and explainability; and ethical considerations. These themes inform the development of research questions and the next phase of the study that includes the application of theory and methods of archival diplomatics and computational archival science.

Keywords

Generative-AI, AI-generated images, Archives, Recordkeeping, Computational Archival Science, Born-digital images

Department

Information

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