Using artificial intelligence (AI) to automate candidate evaluations in the staffing process's assessment phase

Detailed results from the Algorithmic Impact Assessment (AIA) for the Knockri pilot project.

The goal of the proposed pilot project is to reduce the time and cost associated with conducting interviews, resolve potential issues with rater bias, and maintain a high degree of structure and rigor in the interview process. Providing all candidates with equal opportunity for employment within the Canadian government.

Data and Resources

Additional Info

Field	Value
Last Updated	April 17, 2026, 18:51 (UTC)
Created	April 17, 2026, 18:51 (UTC)
contact_email	sabrina.nandkissore@tbs-sct.gc.ca
criticality_level	["general_public", "job_seekers"]
geographic_scope	["3"]
open_canada_collection	aia
open_canada_date_published	2024-02-28 00:00:00
open_canada_keywords	{"fr": ["Évaluation de l'incidence algorithmique", "EIA", "Secrétariat du Conseil du Trésor du Canada", "Dotation"], "en": ["Algorithmic Impact Assessment", "AIA", "Treasury Board of Canada Secretariat", "Staffing"]}
open_canada_subject	["government_and_politics"]
sensitivity_level	unrestricted
title_fr	Processus de dotation avec la plateforme Knockri : un outil d’évaluation des candidatures
update_frequency	continual