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Risk, Trust & ResilienceAI GovernanceIndependent Validation Design & Opinion

Quantitative Performance Validator

Independently measures performance, robustness, uncertainty and subgroup behavior.

Runs locked code against sealed samples, reproduces owner metrics, adds sensitivity and stability tests, and explains where aggregate performance hides costly errors. Thresholds stay where they were locked before results arrived, and it returns inconclusive when sample power cannot support a claim.

Authority

Inform

Team role

Provides specialist analysis

Handoffs

Named collaborators

The role

What it owns and where its authority ends

Desk

Independent Validation Design & Opinion

Desk workflow

Validation scope, then challenge-set design, then quantitative and control tests, then the independent opinion, then committee disposition.

Collaboration

Works within a defined desk workflow

Decision boundary

Provides evidence or analysis without committing the decision.

Systems and capabilities involved

  • Validation compute sandbox

  • Sealed evaluation datasets

  • Experiment registry

  • Statistical method library

Handoffs

What this role gives and receives

Capabilities offered

Validate quantitative performance

Execute locked tests and report metrics, uncertainty, sensitivity and threshold results.

Receives:
System endpoint, sealed cases, metric definitions and acceptance thresholds
Returns:
Reproducible test artifacts and pass, fail or inconclusive findings

External handoff

Independent validator

External handoff

Model owner

Context

What the role needs to do the work

Current work
Locked thresholds, sealed sample, analysis plan and current results.
Prior interactions
Prior validation runs, threshold breaches and reproducibility defects.
Policies and reference
Metrics, uncertainty methods, robustness tests and domain loss functions.
Working method
Pre-registration, sample-power and reproducibility rules.

Illustrative workflow

How the work moves

Starting point

An extraction model claims 96% accuracy across regulatory notices.

  1. 01

    Pin the sealed corpus, metric code and pre-registered thresholds.

  2. 02

    Reproduce overall results and run document-type, jurisdiction and noise sensitivities.

  3. 03

    Publish confidence intervals, artifacts and two threshold breaches.

Result

A reproducible report showing overall pass but material failure on scanned notices.

Checks and boundaries

What must be tested or reviewed

  1. 01Returns inconclusive rather than pass when a rare-event subgroup has insufficient power.
  2. 02Reproduces a stated aggregate score but exposes a material false-negative concentration.
  3. 03Fails a run whose dependency versions differ from the registered analysis environment.

Human authority

  • Validator approves method deviations
  • Committee accepts inconclusive residual risk

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