Artificial Intelligence (AI) is increasingly necessary in support of records management decisions. The scale, rapidity and complexity required in modern records management operations all contribute to make AI increasingly relevant to practitioners. This talk will start by reviewing recent contributions at the intersection of records management and AI, as well as highlight the many challenges still lying ahead of us. Preliminary considerations on the preconditions and requirements of using AI in support of records management will be proposed for discussion. These will be grounded in concrete examples and in an appreciation of the limits and potential of modern-day AI technology.
Giovanni Colavizza is Assistant Professor of Digital Humanities at UvA
, visiting researcher at The Alan Turing Institute
and at the Centre for Science and Technology Studies
(CWTS), Leiden University.
He did his PhD at the Digital Humanities Laboratory of the EPFL
in Lausanne, working on methods for text mining and citation analysis of scholarly publications, and is co-founder of Odoma
, a start-up offering customised machine learning techniques in the cultural heritage domain. Giovanni was also a Co-investigator on the Living with Machines
project and convenes the AI for Arts
interest group at the Turing.
Prior to joining the UvA, Giovanni has been part of the Research Engineering Group
of The Alan Turing Institute, and a researcher at Leiden University (CWTS), the Leibniz Institute of European History in Mainz, and the University of Oxford. He studied computer science (BSc) and history (BA, MA) in Udine, Milan, Padua and Venice in Italy.