When Your AI Interviewer Holds a Grudge

Lucas and Luna examine how AI systems used in hiring and performance reviews can learn from past interactions and hold negative associations against candidates. They explore a 2025 study from the MIT Media Lab showing that a simulated recruiter AI penalized candidates whose profiles were similar to previously rejected applicants, even when those candidates had objectively stronger qualifications. The hosts discuss the feedback loop problem—where an AI 'remembers' a bad hire and then unfairly downgrades similar candidates for years—and how this creates a hidden bias that is harder to detect than standard demographic bias. They also talk about potential fixes, including 'memory reset' policies and bias audits that check for this kind of learned bias, and why transparency in hiring AI is still lacking. #AIEthics #HiringAI #AlgorithmicBias #ArtificialIntelligence #Recruitment #JobSearch #HRTech #BiasInAI #AITransparency #MITMediaLab #FairHiring #Employment #Technology #FexingoBusiness #BusinessPodcast #ResponsibleAI #AISafety #WorkplaceBias Keep every episode free: buymeacoffee.com/fexingo