Machine Learning, Archives and Special Collections
In this session, I’ll summarize what I expect will be the most significant near-term (next ten years) applications for machine learning in the context of archives and special collections, building on a brief essay I wrote over the summer for the International Council on Archives; in this discussion, I’ll focus in particular on the architecture of facial recognition systems and how these may interact with collections, including privacy and ethical issues.
Clifford Lynch is the director of the Coalition for Networked Information (CNI) and an adjunct professor at the School of Information. Prior to joining CNI in 1997, Lynch spent eighteen years at the University of California Office of the President, the last ten as director of Library Automation. Lynch is a past president of ASIS&T and a fellow of the American Association for the Advancement of Science and the National Information Standards Organization.