Algorithmic Fairness

Algorithmic fairness refers to the development and implementation of artificial intelligence and machine learning models that avoid perpetuating or amplifying existing social biases, ensuring equitable outcomes for diverse groups. As AI increasingly influences decision-making in areas like hiring, finance, and law enforcement, ensuring algorithmic fairness is crucial for preventing discriminatory practices and promoting transparency and trust in technology.