Which practice most directly contributes to stakeholder trust and regulatory compliance in CPMAI?

• A. Explainable AI
• B. Black-box models with no explanations
• C. Ignoring regulatory guidance
• D. Minimal logging

Answer: (A)

Making AI decisions understandable and justifiable is the practice that most directly builds stakeholder trust and satisfies regulatory requirements. When a model’s output can be traced to clear factors and a rationale is provided, sponsors, users, and auditors can see why a decision was made, assess potential biases, and challenge or approve outcomes. Regulators expect transparency, traceability, and accountability, and explainable AI offers interpretable explanations, auditable reasoning, and the ability to verify compliance with standards and laws. It also supports governance, risk management, and ongoing improvement in CPMAI projects.

By contrast, black-box models with no explanations obscure the reasoning, erode trust, and make oversight and compliance difficult. Ignoring regulatory guidance leads to non-compliance, and minimal logging removes the essential audit trails needed for accountability.