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Talent Download Podcast

Talent Download Podcast

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Talent Download is the flagship podcast from Amberjack, hosted by CEO Darren Lancaster. It serves as a dedicated resource for senior leaders by doing a deep dive into the critical areas of Early Careers and Volume Hiring.

Each episode is a relaxed, conversational journey featuring a senior leader who shares their career story, industry insights, and lessons learned. Our goal is simple: to help you gain fresh insights, real stories, and practical takeaways to unlock the full potential of your talent strategy.

We are committed to a future where every employer can reach and engage talent. Tune in for thought leadership and actionable advice to help you build the workforce of tomorrow.

© 2026 Talent Download Podcast Economie
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    • AI in Recruitment: Fair or Biased? - Talent Download Ep. 1 ft. Martin Kavanagh and Lauren Edge

      AI in Recruitment: Fair or Biased? - Talent Download Ep. 1 ft. Martin Kavanagh and Lauren Edge
      Jan 23 2026

      In the series premiere of Talent Download, Amberjack CEO Daren Lancaster sits down with occupational psychologists Martin Kavanagh (Head of Assessment) and Lauren Edge (Principal Consultant) to pull back the curtain on AI in the screening process.

      As application rates surge from 35 to 145 per job, organizations are under immense pressure to process candidates quickly without losing the "human touch." We explore the science of fairness, the reality of human cognitive load, and why 90% of candidates are now opting into AI scoring.

      In this episode, we discuss:

      The Science of Quality Assurance: How rigorous training in line with British Psychological Society (BPS) standards ensures fairness.

      The "Human Wraparound": Why Amberjack QAs a minimum of 30% of AI screens and how human experts intervene when technology is uncertain.

      Transcript-Based Assessment: How focusing solely on words—rather than video or background—removes visual bias.

      The Candidate Experience: Why AI can provide faster, more detailed feedback than traditional manual processes.

      Timestamps

      00:00 – Welcome to the Talent Download

      00:41 – The big question: Is AI screening fair?

      02:10 – Defining the Quality Assurance (QA) process

      03:20 – Calibration: Aligning human and machine screeners

      04:42 – Why "good people" can make wrong decisions

      07:34 – The surge in application rates (35 vs. 145 per job)

      08:54 – Core principles of a robust QA process

      10:17 – Why Amberjack introduced AI into the screening mix

      11:51 – Avoiding "imperfect action" and risky AI adoption

      14:04 – The "Human Wraparound": Keeping experts in the loop

      15:37 – Transcript-based scoring vs. visual bias

      18:10 – Monitoring for adverse impact and demographic bias

      20:34 – Why 90% of candidates opt into AI screening

      23:51 – Stopping bottlenecks and improving feedback speed

      28:51 – Client reactions to AI tools: Trust vs. Skepticism

      31:05 – How AI provides more detailed candidate feedback

      36:02 – The future: AI coaching and positive action

      40:46 – Rapid Fire: True or False on the future of AI
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      44 min
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