BiasManagement
Bias management is a set of processes and practices aimed at identifying, measuring, mitigating, and monitoring biases that can affect data, models, decisions, and outcomes within organizations and automated systems. It seeks to improve fairness, accountability, and transparency across the decision pipeline.
Scope includes data collection and labeling, dataset curation, model development and evaluation, deployment, and ongoing monitoring.
Approaches combine governance, auditing, and technical methods. Common tools include fairness metrics such as disparate impact,
Governance and ethics require clear ownership, documentation, and accountability. Organizations may implement bias risk assessments, model
Challenges include trade-offs between accuracy and fairness, measurement uncertainty, and context dependence. Bias can be dynamic
Applications span machine learning systems, hiring tools, lending, healthcare, and content moderation, among others, where bias