Artificial Intelligence (AI) is impacting all areas of academia. Scholars are utilizing AI in every component of research, including the collection, synthesis, analysis, and visualization of data; drafting of articles; and “peer” review of final submissions. The field of Holocaust studies is not immune to these trends. The question is how will the advent of AI impact the future of Holocaust studies? Will it provide new methods for analyzing data and displaying information for research and education that will benefit the field, or will the reduction of victim data to datasets and the problems of accuracy and reproducibility yet again strip people of their humanity?

The objective of the workshop and symposium is to draw on the fields of information science, history, sociology, anthropology, Jewish studies, museology, material culture, and art history to examine four aspects of this discussion:

1. AI and Holocaust Studies research: How can the advent of AI technologies advance research, and what are the perils of applying AI technologies to Holocaust studies in terms of accuracy, tone, reliability, and reproducibility?
2. AI and libraries, archives, and museums: Can AI increase accessibility, findability, metadata generation, cataloguing, authentication, and preservation; what is the responsibility of libraries, archives, and museums in using AI technology and presenting AI output; and what resources and expertise is required?
3. Limits of representation and reception: Can AI be used to accurately and authentically perpetuate and promote Holocaust memory in education and public memory, and what are its limits and taboos?
4. AI and computational sciences: What is the current state of AI technology, and what does the future hold?