Definition
In artificial intelligence, fairness is a critical ethical metric ensuring that algorithms do not perpetuate or amplify societal biases based on protected attributes like race, gender, or age. It involves designing models and datasets that treat all individuals equitably, often requiring technical interventions such as reweighting data or adjusting decision thresholds to mitigate disparate impact across different demographic groups.
Summary
Fairness refers to the principle that AI systems should avoid producing biased or discriminatory outcomes against specific groups.
Key Concepts
- Bias mitigation
- Disparate impact
- Equity
- Algorithmic justice
Use Cases
- Hiring algorithm evaluation
- Loan approval systems
- Criminal recidivism prediction