IRCC’s Guide on the Use of Generative Artificial Intelligence in Application Processing
In response to AIMICI inquiries, Immigration, Refugees and Citizenship Canada (“IRCC”) released to us IRCC’s Guide on the Use of Generative Artificial Intelligence in Application Processing. We are sharing with permission.
AIMICI’s People’s Peer Review
Coinciding with the document’s public release, AIMCI is pleased to announce that next month it will piloting the development the People’s Peer Review of IRCC’s Guide on the Use of Generative Artificial Intelligence in Application Processing (“PRR”).
The purpose of the PPR, aligned with IRCC’s own AI Strategy, is that stakeholder feedback matters.
The peer review will provide a grassroots third-party alternative to the Federal Government’s self-generated peer reviews. This peer review will be based upon public contributions from any interested and affected parties.
AIMICI has long advocated that the Canadian general public and civil society need to have more seats and more meaningful participation at the table of decision-makers who are driving Canada’s AI governance policy. Specific to the immigration space, those who are impacted most by these systems should not be left out of building them, especially if these tools end up being used and trained on our communities.
It is also AIMCI’s belief that stakeholder feedback needs to come from a broad range of sources. From sociologists to technical experts, from frontline service providers to government employees, to those immigration applicants who receive automated administrative decisions, we all have a role to play.
How to Contribute to the People’s Peer Review
Starting next month, AIMICI will release (1) details on how interested contributors can provide feedback and contribute to their perspectives to the People’s Peer Review; (2) a set of resources to assist contributors. Stay tuned!
Read IRCC GenAI in Application Processing Guide
IRCC’s Guide on the Use of Generative Artificial Intelligence in Application Processing can be downloaded here, or read below.