AI Confidence vs Appropriate Trust

Embed standardized security and governance requirements into ecosystem contracts and APIs so organisational oversight scales with ecosystem growth rather than shrinking with it.

CyberTRIZ analysis · CognitiveBias contradiction D005 · one of 8,235 worked contradictions published by CyberTRIZ.AI

Regulations

EU_NIS2 COBIT2019 ISO_27001 MAS_TRM COSO_ERM

Business Context

Artificial intelligence may produce highly confident recommendations regardless of prediction quality, influencing users to either overtrust or undertrust automated outputs.

CognitiveTRIZ Resolution

Calibrate user trust through confidence indicators, uncertainty estimates, and human oversight proportional to decision impact.

Recommended Principles

Principle 17 -Probability Assessment

Principle 19 -Independent Verification

Principle 24 -Ethical Governance

Expected Outcome

Better trust calibration

Improved human-AI collaboration

Reduced inappropriate reliance

Higher decision quality

Decision Indicators

Early indicators that AI confidence may be influencing inappropriate levels of trust include:

Users accept highly confident recommendations without additional verification.

Low-confidence outputs receive the same treatment as high-confidence results.

Human reviewers overlook uncertainty estimates.

Automated recommendations are trusted regardless of decision impact.

Errors occur because confidence is mistaken for accuracy.

Recognizing these indicators promotes balanced trust and more effective human-AI collaboration.

TRIZ principles applied

P17 Probability AssessmentP19 Independent VerificationP24 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.