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Kiljon Shukullari, HR Advisory Manager
(Last updated )


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.
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:
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.
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.
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.
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.
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.
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.
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.
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.
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