Bias in Data
Ethics & Explainability
Systematic errors in data that lead to unfair models
What is Bias in Data?
Sampling bias, label bias, and historical inequities can produce biased models that perpetuate harm.
Real-World Examples
- •Underrepresentation of groups in training datasets
Related Terms
Learn more about concepts related to Bias in Data