AI GUIDE FOR BOARDS IN SINGAPORE
Section V: Organisational Resilience and Capability
11.4.1 Model validation
11.4.3 Monitoring and dri detection
Before deployment, AI models should undergo rigorous testing appropriate to their risk pro le and intended use. Boards should ensure testing covers accuracy and reliability, bias and fairness, robustness under stress conditions, adversarial resilience, explainability and operational suitability. Independent validation may be particularly important for customer-facing systems, regulated decisions and high-consequence operational use cases.
AI models may degrade over time as business conditions, customer behaviour, operational environments, or underlying data change. Boards should ensure management has mechanisms to detect model dri early, monitor performance continuously, identify anomalous outputs, and trigger retraining, escalation, rollback, or retirement where necessary. Monitoring should extend beyond technical accuracy to include operational outcomes, customer complaints, override rates, fairness indicators and business impact.
11.4.2 Deployment
11.4.4 Auditability and explainability
Boards should ensure organisations maintain disciplined deployment controls rather than allowing unmanaged experimentation in production environments. is includes formal approval gates, staged deployment processes, rollback procedures, A/B testing, and documented accountability for production release decisions. Deployment governance should align with enterprise operational resilience and change management standards.
Many regulatory environments increasingly expect organisations to explain how material AI decisions are made. Boards should therefore ensure that models can be audited, decision pathways are documented, and explanations are understandable to management, auditors,
regulators, customers, and aected stakeholders where appropriate.
Explainability expectations may be particularly important in nancial services, healthcare, employment-related decisions and customer eligibility assessments.
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