Working Towards Data Management Bias Mitigation in the National Security Context

Project Title: Working Towards Data Management Bias Mitigation in the National Security Context
Client: Canadian Security Intelligence Service (CSIS)
Students: Claire Okatch, Savannah Tuck, Melissa Hollobon, David Markwei
Faculty Lead: Timothy Cheek
Fieldwork Location: Virtual – Ottawa
Year: 2021-22
Publication: Lights on Data

About the Project: This research identified options for best practices to mitigate the emergence of bias within data management. These options will inform recommendations on how CSIS can balance the privacy-security dilemma, with emphasis on bias mitigation, accountability, privacy rights, and alignment with CSIS’ mandate. The outputs from this project were a publication, presentations, a policy brief, and a policy report (available in English and French) provided to CSIS to support these goals.

Key Words: Data management, Bias Mitigation, National Security