AI Incident Response
A prepared process to contain harm, preserve evidence, notify the right people and change the system after an AI failure.
AI Incident Response is a prepared process to contain harm, preserve evidence, notify the right people and change the system after an AI failure.
It appears repeatedly across the KUOS case library because leaders need it at a real decision point: defining a boundary, assigning an owner, choosing evidence or deciding whether to scale.
Use it in practice by naming one current workflow, the accountable human, the evidence you expect and the condition that would make you change course.
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Purpose
CONTROL
Control boundary
OUTCOME
Accountable action
GOVERNANCE
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Related concepts
Seen in cases
Real-world examples where this concept appears in our case studies.
The CEO Learns About AI from a Customer
Governance and leadership: A quality incident
Governance and leadership: A workflow under pressure
Governance and leadership: A team response
Governance and leadership: A customer-facing moment
Governance and leadership: An ownership gap
Governance and leadership: An investment choice
Direktøren lærer om AI fra en kunde
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