AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence

When Your AI Hiring Tool Rejects You Before a Human Sees Your Resume


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Episode 34 of AI Ethics with Fexingo investigates the growing practice of automated resume screening—where AI systems reject job applicants before any human recruiter ever sees their qualifications. Lucas and Luna examine a 2025 study from Harvard Business School that found 72% of large employers now use some form of AI pre-screening, and drill into the case of a Fortune 500 company whose algorithm systematically downgraded candidates who took career breaks, disproportionately affecting women and caregivers. They discuss the lack of regulatory oversight (the EEOC has issued only non-binding guidance), the technical challenge of bias in training data, and whether 'human-in-the-loop' is a real safeguard or just a comforting myth. The episode closes with a practical question: if you apply to a job and never hear back, how do you even know an AI made the call?

#AIEthics #AutomatedHiring #ResumeScreening #AlgorithmicBias #HiringDiscrimination #EEOC #HarvardBusinessSchool #CareerBreaks #GenderBias #CaregiverPenalty #HumanInTheLoop #Transparency #EmploymentLaw #Technology #ArtificialIntelligence #FexingoBusiness #BusinessPodcast #JobSearch

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AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial IntelligenceBy Fexingo