AI Glossary

Bias

AI bias is a systematic tendency for a model's results to favor, disadvantage, or misrepresent certain situations because of its training data, design choices, or how it is used.

Also known as: Algorithmic bias; model bias

Why it matters in collision repair

A model trained on incomplete vehicle, damage, geographic, or customer data may perform unevenly. Organizations should monitor results and provide a way for people to review or override questionable outputs.

Collision-industry example

A damage model trained mostly on late-model vehicles performs less reliably when evaluating older vehicles, producing inconsistent recommendations.