This technical report provides guidance on the identification and mitigation of bias in artificial intelligence (AI) systems and AI-assisted decision-making processes. It aims to help organizations understand how biases can arise, persist, and be perpetuated within AI technologies and offers recommendations for addressing these issues. The document covers a range of topics including data collection, model training, deployment strategies, and continuous monitoring to ensure fairness and equity in the use of AI.
*** Please note: This description may not be accurate, please refer to the official documentation.