Hire & Beyond | Ep. 04 | Bias, Benchmarks, and The Cost of Being Wrong

TA Leader Ms. Nitika Sinha joins Mr. Siddhant Bansal on Hire and Beyond for a conversation about how AI is changing talent acquisition and what needs to change with it. Drawing on over 13 years in talent acquisition, Ms. Nitika discusses where AI can genuinely make recruiters more effective, from screening and scheduling to giving teams more time for candidate experience and strategic work. The conversation also examines the limits of AI interviews and why organizations still need to question how candidates are being selected, rejected, and scored. The discussion moves into a harder problem as hiring scales. When thousands of assessments are conducted, manual review becomes difficult, but that does not remove the need to know whether the system is accurate. Ms. Nitika shares an instance where an AI interview agent failed to flag candidates using unfair practices, bringing human oversight and stronger audits directly into the conversation. Mr. Siddhant and Ms. Nitika also explore candidate feedback, explainable scoring, independent certification, standardized competence assessment, accessibility, and what a more strategic talent acquisition function could look like as AI takes over more repetitive work. In this episode • Where AI saves recruiters time • Why AI interviews cannot be blindly trusted • What happens when AI misses cheating • Why data-security audits are not enough • Human judgment in candidate assessment • Giving candidates useful feedback after rejection • Building explainable and standardized assessments • Accessibility in AI-led hiring • How talent acquisition could become more strategic • Preparing for an AI-enabled future of work Tune into the full Hire and Beyond episode to hear a practical conversation about AI in hiring, its flaws, and what should be set up before large-scale use. #IHS #HireAndBeyond #AIinHiring #TalentAcquisition #ResponsibleAI #AIInterviews Timestamp 00:00 - 01:30 : Introduction 01:30 - 11:03 : From recruitment to realistic hiring 11:03 - 17:27 : How COVID changed work and early-career hiring 17:27 – 22:42 : Where AI can make recruiters more effective 22:42 – 30:45 : How much can we trust AI interviews? 30:45 – 38:10 : Auditing AI when hiring happens at scale 38:11 – 45:09 : What human interviews still understand 45:09 – 53:13 : Feedback, transparency and trust in AI assessments 53:13 – 01:15:27 : Building better assessments for the future of hiring