SLF–FST: a framework for stress-testing fairness under progressive label bias
Machine learning models are susceptible to reproducing and amplifying structural inequities present in historical data, leading to unjust outcomes in high-stakes domains such as criminal justice, healthcare, employment, and financial services. This paper investigates the relationship between predictive performance and...