The honest answer is that AI interviews can be more consistent than human interviewers, but consistency is not the same as fairness. Why Bias Enters the SystemAI systems learn patterns from historical hiring data. There are three main sources of bias in AI interview tools:Training data bias happens when the historical hiring decisions used to build the model already reflect discrimination, so the AI reproduces it at scale instead of correcting it. Confidence, warmth, and eye contact vary enormously across cultures and communication styles, yet several early AI interview products scored these traits as if they were universal signals of competence. What Job Seekers Can DoCandidates facing an AI interview have less control over the process than employers do, but a few practices help.