AI Bias
Simple Explanation
AI bias happens when an AI system produces unfair or systematically skewed results.
Technical Explanation
Bias can arise from training data, labeling, model design, evaluation, or deployment conditions and can affect different groups unequally.
Business Use Case
A hiring team checks whether an AI screening tool treats applicants consistently.
Real-Life Example
An image tool works better for some types of faces than others.