👉 BWaE, or Body-Wide Bias Engineering, is a specialized field within engineering that focuses on identifying, mitigating, and managing biases that can affect the performance and fairness of AI systems when deployed in real-world applications. Unlike traditional bias mitigation techniques that often target specific data points or model parameters, BWaE takes a holistic approach by considering the entire system lifecycle, from data collection and preprocessing to model training, deployment, and ongoing monitoring. It involves integrating fairness metrics and bias detection mechanisms at every stage to ensure that AI systems operate equitably across diverse user groups, thereby enhancing trust and reliability in critical applications such as healthcare, finance, and criminal justice.