Definition #
Discriminatory results caused by flawed training data or design.
Key Characteristics #
- Racial/gender bias
- Feedback loops
- Historical data issues
Why It Matters #
Impacts hiring, lending, and policing AI systems.
Examples #
- Biased facial recognition