Ethical Bias in AI Datasets: A Data Science Audit Framework for Fairness and Transparency (DS-Audit v1.0)
As AI systems are increasingly deployed in hiring, finance, and governance, ethical bias embedded in training datasets poses a critical risk to fairness and transparency. This technical report presents DS-Audit v1.0, a five-phase Data Science Audit Framework for systematic evaluation and mitigation of dataset bias. The...