Audience Persona
All
Definition
Bias in AI refers to skewed or unfair outcomes due to biased training data or design choices.
Why It Matters
Biased AI can discriminate and cause harm at scale.
Real-World Examples
Facial recognition misidentifying people of color; loan approval discrimination
Common Misconceptions
AI is objective or neutral
Technical Glimpse
Bias can arise in data collection, model selection, labeling, or feedback loops.
Try It Yourself
Test your own dataset with Google’s What-If Tool.
Cautions
Bias is often invisible until deployed in real contexts.
Persona
Why it Matters
Common Misconceptions
Try It Yourself
Cautions
Definition
Real-World Examples
Technical Glimpse
Links