dailyai.report

Large language models develop distinct biases during training that often exceed human prejudices in hiring scenarios. MIT Tech Review reports that these systems absorb skewed patterns from training data. This creates systemic unfairness in resume screening. Recruiters must implement rigorous auditing to prevent automated discrimination against qualified candidates.