Using Machine Learning and AI to Analyze Interviewer Questions in Holocaust Oral Histories

Dr. Presner will begin with an overview of his new book, 'Ethics of the Algorithm: Digital Humanities and Holocaust Memory' (Princeton University Press, 2024), which uses a wide-range of computational methods to read and listen to Holocaust testimonies.

He will, then, focus on one particular project: using language transformers to study clusters of topics in nearly 90,000 interviewer questions (across four oral history corpora).

He will conclude by discussing the recent research of his “AI and Cultural Heritage” lab, showing how Large Language Models can help disambiguate unclear references and provide additional context for testimony analysis.

All welcome to join this online seminar. Please register to receive the joining details: https://voices-unbound.eventbrite.co.uk

Voices unbound? Exploring new and/or possible directions in digital and experimental oral history

A lecture series co-organised by TU Darmstadt, UCL Centre for Digital Humanities, Luxembourg Centre for Contemporary and Digital History (C²DH) and the Max-Planck-Institut für Wissenschaftsgeschichte. The series is convened by Julianne Nyhan (TU Darmstadt), Andrew Flinn, Andreas Vlachidis, and Marco Humbel (UCL), Shih-Pei Chen (Max Planck Institute), and Gerben Zaagsma (C²DH), offering an important way of keeping up to date with the methodological and theoretical state of the art in digital oral history. We invited speakers to present work on recent technological developments that may hold promise for digital oral history. In this way, the seminar series appeals to (digital) oral historians, digital humanists and scholars of the history of information, memory and knowledge systems.