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Insights on AI and Recruitment

2026-03-24 8 min read

Wharton Researchers Just Updated Kahneman's Model for the AI Age. Here's What It Means for Hiring.

New research introduces 'cognitive surrender' — when people stop thinking and just accept AI outputs. The findings have direct implications for how AI should be used in hiring decisions.

New research introduces 'cognitive surrender' — when people stop thinking and just accept AI outputs. The findings have direct implications for how AI should be used in hiring decisions.

AI ResearchCognitive ScienceHuman-in-the-LoopGovernance
By Julien Gagnier
2026-03-04 9 min read

Most Companies Claim Skills-Based Hiring. The Data Says Otherwise.

Harvard and Burning Glass found that dropping degree requirements changed fewer than 1 in 700 hires. Here's what's really happening and what it takes to close the gap.

Harvard and Burning Glass found that dropping degree requirements changed fewer than 1 in 700 hires. Here's what's really happening and what it takes to close the gap.

Skills-Based HiringResearchTalent AcquisitionHiring Strategy
By Julien Gagnier
2026-03-01 9 min read

When 60% of Candidates Lie About Qualifications, How Do You Verify Anyone?

Checkr's survey of 3,000 managers found 60% have caught candidates lying about qualifications. 31% have interviewed people using fake identities. Here's how cross-verification catches what traditional checks miss.

Checkr's 2025 survey of 3,000 managers revealed 60% have caught candidates lying about qualifications. 31% have interviewed candidates using fake identities. Traditional verification methods are failing — here's how cross-verification catches what single-source checks miss.

Hiring FraudVerificationCross-VerificationIndustry Trends
By Julien Gagnier
2026-02-24 7 min read

Human-in-the-Loop Isn't Enough. Here's What Actually Protects Against AI Bias.

New research shows humans follow AI bias up to 90% of the time. The solution isn't removing AI — it's rethinking what human oversight actually means.

Researchers at the University of Washington found that human decision-makers followed AI biases up to 90% of the time. The findings challenge the assumption that human-in-the-loop oversight is sufficient to prevent algorithmic discrimination in hiring.

AI BiasResearchGovernanceHuman-in-the-Loop
By Julien Gagnier
2026-02-11 9 min read

Ontario's AI Transparency Law Is Now in Effect. Here's What It Means for Your Hiring Process.

Ontario employers with 25+ employees must now disclose AI use in job postings. Here's what the new rules require and how to build compliant, governed hiring processes.

As of January 1, 2026, Ontario employers with 25 or more employees face new requirements for job postings and hiring practices. Among them: mandatory disclosure when artificial intelligence is used to screen, assess, or select candidates.

ComplianceAI Hiring LawsGovernanceOntario
By Julien Gagnier
2026-02-10 8 min read

New AI Hiring Laws Are Here — And More Are Coming. Is Your Screening Process Ready?

Illinois and Texas AI hiring laws took effect January 2026. Colorado's follows in June. Here's what talent acquisition teams need to know about compliance, disclosure, and AI governance.

As of January 1, 2026, talent acquisition teams using AI for hiring in Illinois or Texas face new legal requirements — and Colorado's comprehensive AI law takes effect June 30. Here's what HR leaders need to know about compliance, disclosure, and AI governance.

ComplianceAI Hiring LawsGovernance
By Julien Gagnier
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