Predictive Accuracy vs Explainability

Enforce a provider-agnostic governance and security baseline through infrastructure-as-code so multi-cloud diversity does not fragment operational controls.

CyberTRIZ analysis · CognitiveBias contradiction D012 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

EU_NIS2 ISO_27001 COBIT2019 ISO_22313 BCBS_239

Business Context

Highly sophisticated AI models often achieve superior predictive performance, but their complexity may reduce transparency and make decisions difficult to explain.

CognitiveTRIZ Resolution

Balance predictive performance with explainability requirements according to the business impact and regulatory obligations of each decision.

Recommended Principles

Principle 18 -Structured Evaluation

Principle 21 -Decision Metrics

Principle 24 -Ethical Governance

Expected Outcome

Better regulatory compliance

Increased stakeholder trust

Improved model transparency

Responsible AI adoption

Decision Indicators

Early indicators that predictive accuracy may be reducing explainability include:

Users cannot clearly understand how AI recommendations are generated.

High-performing models receive limited scrutiny regarding transparency.

Regulatory questions cannot be answered using available model documentation.

Stakeholders hesitate to accept decisions because explanations are insufficient.

Business teams struggle to justify automated outcomes to affected parties.

Monitoring these indicators promotes an appropriate balance between predictive performance and explainable AI.

TRIZ principles applied

P18 Structured EvaluationP21 Decision MetricsP24 Ethical Governance

Controls that address this (22)

EU_NIS2-CTRL-001 - Daily safeguarding reconciliationoperational · critical priority · Daily reconciliation between safeguarded customer balances, core ledger balances and safeguarded bank accounts. Variances above EUR 100 must EU_NIS2-CTRL-002 - Critical ICT incident reportingoperational · critical priority · All major ICT incidents impacting payment services, customer data or availability must be classified within 4 hours and reported under DORA EU_NIS2-CTRL-003 - GDPR breach notification workflowoperational · critical priority · Personal data breaches must be assessed within 12 hours and reported to the Belgian DPA within 72 hours where risk to data subjects exists.