Data Minimization
The principle of collecting and processing only the minimum amount of personal data necessary for a specific purpose, reducing privacy risks in AI systems.
In plain language
Only collecting the data you actually need. If your AI just needs to know someone's age bracket, don't collect their exact birthdate. Less data collected equals less risk if there's a breach.
Why this matters
Data minimisation is a legal requirement under the Australian Privacy Act and aligns with the privacy-by-design principle. Your AI governance framework must ensure that AI projects collect and retain only the data necessary for their stated purpose, reviewed at design and deployment stages.
Relevance
GovernanceData minimisation is a core privacy principle that reduces compliance risk and simplifies data governance in AI systems.
Related terms
Putting data minimization into practice in your organisation?
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