Information Workshop II (Summer 2026)

Data are a crucial ingredient in any AI system. Recognized biases are attributed to the datasets used for training ML models and the associated data practices. Caring for datasets is crucial for effective dataset development that supports transparent, fair, and accountable ML practices and outcomes. This short workshop course introduces students to the concept of ‘data practices’ and invites them to care about dataset development processes by considering them as craft work requiring reflexivity, criticality, and rigour. We explore how adopting norms and practice-based processes from information fields including library sciences, archives, and data curation can benefit and elevate fundamental understanding and responsible ML data work.

This workshop is a hands-on exploration of multiple styles of bookbinding. Students will acquire fundamental technical knowledge by creating a variety of book structures using traditional tools and materials. An appreciation of the history of bindings will be gained through lectures and library visits. Students are not expected to be artistic or have skills in bookbinding before the class. Grading will be based on participation, effort, and increased skills over the span of the class.