

Podcast 219: Dealing with AI use in recruitment and job applications
34 snips Jun 10, 2025
Join Natalie Sheils, CEO of Talenaut; Katie Obi, Chief People Officer at One Advanced; and Katie Noble, Talent Strategy Director at Omni RMS, as they dive into the transformative role of AI in recruitment. They discuss the increasing use of AI to streamline hiring processes, while also addressing the ethical concerns and biases that can arise. The conversation tackles whether job seekers should be allowed to use AI technologies themselves, and emphasizes the need for governance to balance human intuition with advanced tools in hiring practices.
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AI Bias from Referral Patterns
- An AI screening tool trained on biased onboarding data favored candidates from a specific school and gender due to referral patterns.
- This unintentional prioritization risked discrimination lawsuits unless corrected promptly.
AI Bias and Hallucination Examples
- During COVID, AI models predicting A-level results used biased historical data, disadvantaging students from non-selective schools.
- Lawyers who blindly trusted ChatGPT for case law got fined after the AI hallucinated fake cases.
AI Recruitment Adoption Landscape
- AI adoption in recruitment is growing but still uncommon, especially in SMEs and public sectors.
- Key AI uses include writing job ads, chatbots for candidate FAQs, onboarding engagement, and candidate shortlisting with scrutiny.