"Is This Not Enough?": Asymmetries in Institutional Accountability and Collective Sensemaking in the Case of Canada's Algorithmic Visa Triage System
A new paper analyzes Canada's algorithmic visa triage system, revealing significant asymmetries between institutional accountability frameworks and applicant experiences. Researchers examined Immigration, Refugees and Citizenship Canada's Algorithmic Impact Assessment and Reddit discussions among applicants. The study found that while official documents highlight transparency and safeguards, applicants rely on peer knowledge to navigate opaque decision-making processes. Key asymmetries identified include differences in access to decision logic, exposure based on geopolitical positioning, and the experience of waiting and uncertainty. AI
IMPACT Highlights how algorithmic governance in migration can create disparities not captured by disclosure frameworks.