AIC trust standard

Do not trust an AI answer you cannot inspect.

An Evidence Passport is the reviewable record attached to an AIC analysis. It keeps the finding connected to its source, transformations, method, uncertainty, approval and permitted use.

Six layers of evidence accountability

The passport is designed for researchers, reviewers, programme managers and decision-makers who need to understand not only the result, but whether it is suitable for the decision in front of them.

Implementation status: AIC already retains dataset, variable mapping, cleaning steps, parameters and analysis-job identifiers. The complete portable passport and approval history are being standardised across every workspace.
1

Identity

A stable record ID, analysis owner, creation time and approval status.

2

Source

Provider, dataset, licence, publication date, collection period and geographic coverage.

3

Quality

Completeness, missingness, comparability warnings and a visible freshness classification.

4

Method

Variables, transformations, analytical recipe, parameters and software or model version.

5

Reliability

Backtest window, baseline comparison, error metrics, uncertainty and known limitations.

6

Decision use

Interpretation, reviewer, approval history and clear recommended or prohibited uses.

A result with its limits visible

Reviewed · decision-support use

AIC-EP-EXAMPLE-001

Illustrative crop-yield outlook · Nigeria

This example demonstrates the record structure and is not a current forecast.

Source
Public crop statistics · provider licence retained
Freshness
Periodic—not real-time
Method
Time-series candidate models with held-out backtesting
Uncertainty
Prediction interval required beside point estimate
Known limitation
National series may conceal subnational variation
Permitted use
Planning and further investigation; not automatic allocation

Make evidence quality part of procurement.

Institutions can require an Evidence Passport for every exported finding, forecast and decision brief.

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