Artificial intelligence is rapidly transforming recruitment, with AI-driven platforms like HireVue becoming integral to the hiring process at leading companies including JPMorgan Chase and Amazon. These technologies help recruiters manage unprecedented applicant volumes by conducting video interviews and providing AI-based assessments. However, this shift has brought increased scrutiny over the fairness and impartiality of AI interviewing systems.

For example, Matt Segel, a college student who applied for a financial analyst internship at JPMorgan Chase, shared his experience with HireVue interviews. He described the process as “a little bit weird,” noting how impersonal automated video interviews felt and expressing doubts about how well AI captures a candidate’s personality or potential. Such sentiments highlight candidate concerns regarding the effectiveness and humanity of AI-driven selection.

The growing role of AI in hiring is evident, with a 2026 Greenhouse report revealing that over half of surveyed candidates have undergone AI interviews. HireVue reportedly serves more than 60% of the top 100 U.S. companies and multiple federal agencies, underscoring its widespread adoption. Amazon’s recent launch of Connect Talent, designed for high-volume roles, further exemplifies AI’s expanding footprint in recruitment.

Although AI can enhance efficiency by filtering massive applicant pools and standardizing evaluations, the technology raises critical questions about bias. Research from Stanford University identified racial disparities arising in AI screening, while legal frameworks via the Equal Employment Opportunity Commission forbid discriminatory practices that disproportionately affect protected groups.

One prominent challenge involves the “paradox of algorithmic meritocracy,” where AI inherits human biases embedded in historical data. Algorithms trained on flawed past hiring patterns may perpetuate longstanding issues, as seen with Amazon’s discontinued AI tool in 2018, which showed gender bias. Similarly, HireVue faced lawsuits and investigations related to discriminatory effects on non-white and disabled candidates.

Experts emphasize that AI’s perceived objectivity can obscure these biases, making it harder to question or detect unjust outcomes. While some platforms include guardrails to avoid irrelevant or biased testing—like Amazon’s blinding of identifiable information and role-relevant assessment controls—doubts remain about whether recruiters properly scrutinize AI-generated scores or if relying on human review sufficiently mitigates bias.

Moreover, AI’s increasing integration into job seeker tools, with 81% of candidates reportedly using AI to craft resumes, creates a complex feedback loop. This cycle amplifies application volumes and AI involvement in both application and evaluation stages, challenging recruiters to balance efficiency with genuine talent identification.

For HR and recruitment professionals, these insights highlight the importance of critically assessing AI tools’ design, implementation, and impact. Ensuring transparency, ongoing bias audits, and maintaining human judgment as a check on automated decisions are essential steps toward equitable hiring. As AI continues evolving, it offers promising opportunities to uncover overlooked talent but requires vigilant management to avoid replicating historical recruitment inequalities.

Source: USA TODAY