To dig deeper into the opportunities and risks presented by machine learning for institutions like ours, the Library of Congress commissioned Ryan Cordell, Associate Professor of English at Northeastern University, to write this report on the “state of the field in machine learning and libraries.” The goal was to provide a wide-ranging view into the current applications and practices of applying machine learning in libraries and other cultural heritage organisations.

Urging care and thoughtful implementation of machine learning, the report points out the risks and potential benefits for crowdsourcing, 'searchability' of type and handwritten documents and audiovisual materials, collection management, conservation and preservation, and creative and artistic works.

The report concludes with recommendations for responsibly implementing machine learning, improving access to data, developing infrastructure, and cultivating expertise.

Publication Details
Access Rights Type: