AI Ethics & Safety
Differential Privacy
DP
AI Ethics & Safety· Advanced
Definition
A mathematical framework that provides provable guarantees about individual privacy in statistical computations — adding calibrated random noise to outputs so that the inclusion or exclusion of any single individual cannot be detected. Enables organizations to share aggregate AI insights without exposing individual data.
Enterprise Context
Used by Apple, Google, and the US Census Bureau to share statistics without exposing individual records. Increasingly required by enterprise data sharing agreements and AI governance frameworks.
Tags
#privacy#mathematics#governance
MS
Maxx Stacks Editorial
Reviewed by enterprise AI practitioners
Maxx University
Keep learning. Keep building.
250+ terms. 5 learning paths. AI maturity assessment. Jargon translator. All free, always.