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
Source
Version
Author
Author Email
Maintainer
Maintainer Email
Data Level
Agreement Required
Purpose Constraints
Redistribution Allowed
AI Training Allowed
Data Steward
Title (French)	Processus de dotation avec la plateforme Knockri : un outil d’évaluation des candidatures
Update Frequency	continual
Geographic Scope	["3"]
Criticality Level	["general_public", "job_seekers"]
Sensitivity Level	unrestricted
Language
Contact Person
Contact Email	sabrina.nandkissore@tbs-sct.gc.ca
Data Dictionary
Open Canada Date Published	2024-02-28 00:00:00
Open Canada Date Modified
Open Canada Subject	["government_and_politics"]
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 Collection	aia
Principal Organization
Reference Data
Official Source