Provide engineers feature attributions and leaders | AIGP
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Provide engineers feature attributions and leaders: Which evidence plan best serves both audiences?

AIGP Understanding the Foundations of AI Governance Medium

Appropriate explanations depend on audience: engineers need technical case detail, leaders need understandable system-level effects.

The question

A manufacturing model flags products for inspection. Engineers need technical reasons for individual flags, while plant leaders need a plain-language account of error patterns and operational effects. Which evidence plan best serves both audiences?

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  1. Give both audiences the model architecture and training-data inventory.
    Architecture and data inventory provide background, but neither supplies audience-appropriate case explanations and operational pattern reporting.
  2. Provide engineers feature attributions and leaders aggregated error reporting.
    Technical attributions support case-level analysis, while aggregated error reporting communicates system behavior and effects to operational leaders.
  3. Provide leaders individual scores and engineers a plain-language summary.
    This reverses the most useful level and form of information for technical diagnosis versus operational governance.
  4. Publish one comprehensive explanation intended for all plant personnel.
    A single explanation may be accessible to some users but cannot adequately support both technical diagnosis and executive oversight.
The trap
Identify the audience’s decision before choosing technical, case-level, or aggregated evidence.

How to remember it

Appropriate explanations depend on audience: engineers need technical case detail, leaders need understandable system-level effects.

How many of these would you get right?

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