AI Self-Preferencing in Hiring: How Shared LLM Stacks Are Skewing Your Shortlists
A 2026 peer-reviewed study finds that AI resume screeners are 23–60% more likely to shortlist candidates whose resumes were written by the same LLM powering the screener — a new category of algorithmic bias that demographic-fairness audits completely miss.