Fairness-aware Learning

Fairness-aware learning is a method used in designing machine learning systems to ensure they make decisions that are fair and unbiased. It involves checking and adjusting algorithms so they don't favor or discriminate against certain groups based on sensitive characteristics like race, gender, or age. This helps create AI that treats everyone equally, promoting ethical use of technology and reducing harmful biases. Essentially, it ensures that the system’s outcomes are just and equitable for all individuals, helping prevent unfair treatment in areas such as hiring, lending, or law enforcement.