Explore a comprehensive tutorial on using harms and benefits to ground practical AI fairness assessments in finance. Delve into the methodology for evaluating AI systems, focusing on credit scoring case studies and the balance between performance and fairness. Learn about system objectives, confusion matrices, and the importance of personal attributes in AI decision-making. Gain insights into effective system monitoring and review processes to ensure ethical AI implementation in financial contexts.