Term

Definition

Example

Bias

A tendency to favor one group, opinion, or outcome unfairly.

A hiring app preferring one gender because of biased past data.

AI Bias

When an AI system gives unfair results because it learned from biased or incomplete data.

A face recognition system that fails to recognize darker skin tones.

Ethics

Principles that guide what is right or wrong in technology use.

Ensuring AI decisions are fair, safe, and respect privacy.

Fairness

Treating all people equally without discrimination.

Designing AI that works equally well for all age groups.

Transparency

Making AI decisions understandable and explainable.

Showing users why a recommendation or decision was made.

Diversity in Data

Using data from many groups to avoid bias.

Including images of different faces, genders, and regions when training an AI model.