Using AI in Recruitment: Best Practices for Canadian Employers

  • Recruitment
Human recruiter assessing a resume
Kiljon Shukullari

Kiljon Shukullari, HR Advisory Manager

(Last updated )

Artificial intelligence (AI) is transforming how Canadian employers recruit by streamlining resume screening, skills assessment, and interview scheduling. However, AI use must comply with federal and provincial privacy, anti-discrimination, and transparency laws. This article outlines key obligations, risks, benefits, and practical steps for SMEs.

Canadian laws governing AI-driven hiring

PIPEDA and provincial privacy laws

The Personal Information Protection and Electronic Documents Act (PIPEDA) and substantially similar laws in provinces such as Alberta and British Columbia govern personal data handling. Key obligations include: 

  • Obtaining clear consent where required (or ensuring collection is necessary with proper notice in employment contexts). 
  • Only collecting data that is necessary for recruitment. 
  • Informing candidates about AI use and data practices. 
  • Allowing candidates access and correction rights. 

Human rights codes

Provincial/territorial human rights laws prohibit discrimination on protected grounds (race, gender, age, disability, etc.). AI systems that produce biased outcomes can create liability. Regular audits are essential.

Federal developments 

Bill C-27 (including the proposed Artificial Intelligence and Data Act) did not pass, leaving no comprehensive federal AI statute in force as of July 2026. Canada’s AI for All national strategy emphasizes trust (transparency, privacy, bias mitigation in areas like hiring), opportunity (AI literacy and upskilling), and sovereignty. It supports responsible adoption and signals potential future targeted rules.

Benefits and risks of using AI in recruitment

Benefits

  • Faster, efficient screening of large application volumes. 
  • Improved candidate experience via chatbots and automated scheduling. 
  • Data-driven insights that can reduce certain human biases when properly designed.

Risks 

  • Algorithmic bias perpetuating inequities. 
  • Privacy breaches or improper data sharing (especially cross-border). 
  • Reduced trust from lack of transparency.

Mandatory disclosures and candidate rights

In Ontario, employers with 25+ employees must disclose AI use for screening/assessing/selecting applicants in publicly advertised job postings (effective Jan. 1, 2026, under the Working for Workers Four Act). Related rules include pay transparency and a ban on requiring Canadian experience.

Privacy notices should clearly outline data collected, purposes, retention, and third-party sharing.

Step-by-step process to implement AI in hiring

1. Define skills-based criteria: Focus on job-relevant, measurable requirements to minimize bias. 

2. Vet AI vendors: Choose transparent, auditable tools with bias audit reports and Canadian compliance. 

3. Draft an AI hiring policy: Document use, oversight, and appeals; integrate with HR processes. 

4. Train staff: Educate recruiters on AI tools, legal duties, and bias recognition (align with national AI literacy goals). 

5. Pilot and audit: Test on a small scale, compare with traditional methods, and conduct regular bias testing against protected groups. Adjust or switch vendors as needed.

Maintaining human oversight and record-keeping

Keep humans involved in key decisions (e.g., final interviews, offers). Establish clear appeal processes (with responses within 30 days). Maintain detailed records of AI use, assessments, and reviews for compliance and audits.

Additional considerations for Canadian employers

Unionized workplaces: Consult unions; collective agreements may require negotiation. 

Cross-border data transfers: Use safeguards (e.g., contractual clauses) to comply with PIPEDA/provincial laws. 

Accessibility: Ensure AI tools accommodate candidates with disabilities under human rights laws and the Accessible Canada Act (for federally regulated employers). Use inclusive datasets and test for barriers. 

National strategy alignment: Leverage AI for All supports for training and adoption while prioritizing fairness and transparency to build trust.

Summary

Responsible AI adoption can deliver efficiency and fairness gains for Canadian SMEs. Prioritize transparency, bias mitigation, and human oversight to reduce legal risks and enhance candidate experience.

Need support developing HR policies for your business?

Adopting AI in recruitment offers efficiency but demands compliance with Canada’s evolving legal landscape. Peninsula’s HR experts can provide tailored guidance on creating and updating company policies, including for AI, support with compliance, and advice on any other HR or health & safety matters.

To learn more about how our services can help your business, call us today at 1 (833) 247-3652.

Related articles

  • Female server handing food to customer

    Blog

    Kiljon ShukullariHR Advisory Manager
    • Minimum wage
  • farmers working in field

    Blog

    Olivia CicchiniEmployment Relations Expert
    • Recruitment/HR
  • employee minimum wage in nova scotia

    Blog

    Alana PrattHR Advisory Manager
    • Minimum wage
Back to resource hub

International sites

© 2026 Peninsula Employment Services Ltd. Registered Office: 33 Yonge Street, Suite 610, Toronto, ON M5E 1G4. Registered in Canada No: BC1117140.

Canadian Awards