Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
Why Hiring Algorithms Penalize Job Hopping
In this episode of AI Ethics, Lucas and Luna examine how AI hiring tools inherit and amplify bias against candidates with non-linear career histories. They dig into a 2023 study of a major tech company's screening algorithm, which systematically downgraded applicants with employment gaps or frequent job changes — even when those candidates had objectively stronger skills. The conversation traces how training data from past 'successful' hires bakes in assumptions about loyalty that don't reflect modern career realities, and discusses the real-world consequences for caregivers, freelancers, and…
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