Where artificial intelligence or machine learning is used for fraud and misconduct detection, cybersecurity, automated trading, loan origination and credit scoring, risk management, security controls or compliance, management addresses the risks: reliance on large data sets whose breach causes misuse, fraud, loss and consumer harm, human errors of omission or commission in design and training, and the further model, bias, explainability and oversight risks the booklet describes.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.