Verification and Trust in AI for Integrated Product Support
AI outputs must be trusted, understood, and verified by the professionals responsible for acting upon them. Human oversight remains essential.
Approaches to Verification
Organisations may adopt several approaches to verifying and validating AI-supported outputs. Engineering authority and responsibility for decisions must remain clearly defined.
- •Engineering Review
- •Data Traceability
- •Model Transparency
- •Operational Testing
- •Continuous Monitoring
- •Feedback Loops
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