Bakom arkiv och samlingar : Varför diskuteras problemen med AI sällan inom kulturarvsforskning?

Introduction. Recent research on cultural heritage was examined to explore the problems of AI in the heritage sector, including their impact on cultural heritage, their comparative representations, and how the heritage sector and broader computer science discourses approach these AI-issues differently. Methods. The combined hybrid text analysis method of exploratory nature consisted of distant and close reading approaches. Sources were 168 peer-reviewed articles from the Library & Information Science Collection (LISC) from 2020–2025. The overview distant analysis provided focus in the close reading, which consisted of in-depth examination of nine articles with high relevance to the research topic. Analysis. Throughout, the material findings were understood through the well-established Diffusion of Innovations (DOI) Theory and the Technology Acceptance Model (TAM), which provided explanations to how technologies are accepted and ideas spread in society. Results. Many heritage scholars seem to lack knowledge on both technical and sector-specific problems of AI, and AI-problems related to cultural heritage tend to be overlooked in scholarly literature. Conclusion. If heritage scholars are excluded from AI-based forums that address cultural heritage, concerns about bias, misinformation, and potential discrimination and marginalization of cultural groups and heritage arise.