When Your AI Recruiter Ignores Veteran Candidates

In this episode of AI Ethics with Fexingo, Lucas and Luna explore how resume-scanning AI systems may systematically filter out military veterans. They examine a 2025 study from the University of Maryland that found a 23 percent lower callback rate for veteran applicants when screened by algorithmic tools versus human reviewers. The hosts discuss how training data and keyword optimization can encode hidden biases against non-linear career paths, and what companies like Microsoft and Amazon are doing to audit their hiring models. Lucas explains the concept of 'skill translation gaps' in natural language processing, and Luna pushes back on whether quick fixes like adding military keywords actually solve the problem or just mask it. This episode offers a concrete look at a less-discussed fairness issue in AI-driven hiring. #AIEthics #HiringBias #Veterans #ResumeScanning #AlgorithmicFairness #UniversityOfMaryland #Microsoft #Amazon #SkillTranslation #NLP #Employment #Technology #FexingoBusiness #BusinessPodcast #AI #Bias #VeteranEmployment #HRTech Keep every episode free: buymeacoffee.com/fexingo