Block inputs, log attempts, notify the owner, and escalate | AIGP
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Block inputs, log attempts, notify the owner, and escalate: Which enforcement response best operationalizes

AIGP Understanding the Foundations of AI Governance Medium

Effective enforcement blocks prohibited inputs, logs attempts, and routes repeated violations to accountable owners.

The question

A public-benefit agency permits an AI assistant only for generic drafting, and its internal acceptable-use policy prohibits entering applicant case details. An audit finds repeated attempts to paste case narratives into the assistant. Which enforcement response best operationalizes that policy while preserving accountability and escalation?

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  1. Add training, record acknowledgments, and require monthly supervisor review.
    Training and acknowledgment support awareness, but they do not provide operational blocking or immediate escalation for repeated attempts.
  2. Send a reminder about prohibited inputs.
    A reminder communicates the rule but does not prevent repeated attempts, preserve an audit trail, or trigger accountable escalation.
  3. Require supervisors to review use monthly and document patterns.
    Retrospective monthly review may identify patterns late and does not prevent case narratives from being submitted.
  4. Block inputs, log attempts, notify the owner, and escalate recurrence.
    This prevents prohibited submissions, preserves evidence, routes responsibility, and addresses repeated violations through escalation.
The trap
Distinguish communication and training from controls that prevent, detect, document, and escalate noncompliant use.

How to remember it

Effective enforcement blocks prohibited inputs, logs attempts, and routes repeated violations to accountable owners.

How many of these would you get right?

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