Solutions · Human resources
Recruitment AI is the most regulated AI most companies use
Screening, ranking and monitoring tools affect people’s livelihoods and are singled out by the EU AI Act, Ontario, Quebec, Illinois, New York City, California and Colorado. Document the tool, the decision role, the notices and the human review.
Typical AI uses
- Resume screening and ranking
- Interview scheduling and chatbots
- Video interview analysis
- Employee monitoring analytics
- Policy and job-description drafting
Where obligations differ
Illustrative, not legal advice. The assessment screens your actual profile against the verified dataset.
Drafting job descriptions and policies
lowHuman review covers the risk.
AI used in public job postings to screen applicants (Ontario, 25+ employees)
elevatedPosting must disclose AI use (ESA s. 8.4, in force 1 January 2026).
AI ranking, filtering or rejecting candidates
highEU Annex III high-risk (deployer duties from 2 December 2027), Illinois HB 3773, NYC LL144 bias audits, Colorado SB 26-189 (2027), Quebec s. 12.1.
Starter inventory
A template you can customize in the workspace or import from CSV.
| System | Purpose | Data | Oversight |
|---|---|---|---|
| Applicant screening | Parse and rank resumes | Candidate info | Recruiter reviews every shortlist |
| Scheduling assistant | Book interviews | Candidate contact | None needed beyond logs |
| Policy drafting assistant | Draft HR documents | Internal | HR lead review |
First four steps
- Register every tool that touches candidates or employees
- Record decision role and human review
- Add posting and candidate notices
- Request bias and validation documentation from vendors
Guides
- AI Compliance for HR Teams: Recruitment, Screening and Employee Monitoring
What HR teams in Canada, the US and the EU must do when AI touches hiring, screening or monitoring: the rules, the dates, and the practical controls that produce evidence.
- The EU AI Act for Canadian Companies
When a Canadian business falls under the EU AI Act, the difference between provider and deployer, the risk tiers, the post-Omnibus timeline, and practical next steps.
- What Evidence Should an AI Governance Program Retain?
The evidence an AI governance program should keep per control, retention periods grounded in Colorado and EU duties, hashes and tamper-evidence, verified versus uploaded evidence, and export bundles.