Policy consultations can result in voluminous public records and complexity in determining who and how various submissions influenced the final outputs - how can AI help in tackling this problem?

This session will examine the methodological and technical approaches our project team is advancing in understanding how to use LLMs to scrutinize policy consultations. Methodological considerations for classifying submissions, extracting arguments and recommendations, and assessing which submissions influenced final outcomes will be discussed.

The Presenters:

Mohamed Abdalla, Assistant Professor, Department of Medicine

Peter Binkley, Digital Scholarship Technologies Librarian, U of A Library Digital Scholarship Centre

Michael B. McNally, Professor, Faculty of Education - School of Library and Information Studies

Geoffrey Rockwell, Professor, Philosophy and Media Tech Studies (MTS); Canada CIFAR AI Chair and Amii Fellow