Data Minimisation
Using only the personal or sensitive data genuinely required for a defined AI purpose, for no longer than needed.
Data Minimisation is using only the personal or sensitive data genuinely required for a defined AI purpose, for no longer than needed.
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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Business context
CONTROL
Data Minimisation
OUTCOME
Decision or action
DATA & TRUST
Gå dybere
Relaterede koncepter
Set i cases
Eksempler fra virkeligheden, hvor dette koncept optræder i vores cases.
The Sensitive Data Shortcut
Data, risk and trust: A quality incident
Data, risk and trust: A workflow under pressure
Data, risk and trust: A data boundary
Data, risk and trust: A customer-facing moment
Data, risk and trust: An ownership gap
Data, risiko og tillid: En kvalitetsulykke
Data, risiko og tillid: En arbejdsproces under pres
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