Sector players should test and assess their AI systems against the seven principles using available toolkits (the Guidelines name examples for fairness and bias detection, model validation, explainability and operational monitoring) and pursue certification where available, and should apply critical thinking when considering AI: weigh whether AI is the right solution for the need, its effect on people, the environment and society, the workforce and cultural shift involved, and the lessons for future projects.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.