The forthcoming publication from Palgrave Macmillan, Artificial Intelligence Applications in Oral History: Reports from the Field, is launching a call for case studies from oral history practitioners across the world who have utilized artificial intelligence technologies in their work. The possible applications of this technology will be divided into the following chapters:
Chapter 1 – Artificial Intelligence as Oral History Interviewer
Chapter 2 – Artificial Intelligence as Oral History Transcriber
Chapter 3 – Artificial Intelligence as Oral History Indexer
Chapter 4 – Artificial Intelligence as Oral History Researcher
Chapter 5 – Artificial Intelligence as Oral History Curator
Those interested in submitting their work for potential case study inclusion will identify one of these…
The forthcoming publication from Palgrave Macmillan, Artificial Intelligence Applications in Oral History: Reports from the Field, is launching a call for case studies from oral history practitioners across the world who have utilized artificial intelligence technologies in their work. The possible applications of this technology will be divided into the following chapters:
Chapter 1 – Artificial Intelligence as Oral History Interviewer
Chapter 2 – Artificial Intelligence as Oral History Transcriber
Chapter 3 – Artificial Intelligence as Oral History Indexer
Chapter 4 – Artificial Intelligence as Oral History Researcher
Chapter 5 – Artificial Intelligence as Oral History Curator
Those interested in submitting their work for potential case study inclusion will identify one of these five areas and summarize their efforts in an abstract of around 250 words, focusing on the application of said technologies, the outcomes of said application, and any lessons learned, or opinions held, in the aftermath.
Those selected for inclusion will be notified by mid-January 2026 and will then have six months to produce their case study. These documents will range in size from 2500-5000 words depending on the scope of the work and the total number of case studies accepted. The book itself is currently scheduled to be submitted by the end of the Summer 2026 and published in Q1 2027.
The deadline for abstract submission is December 31, 2025. If you are interested in submitting a project for consideration, or if you have any questions about this opportunity, please contact author/editor Steven Sielaff at Steven_Sielaff@baylor.edu.
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