Anonymization AI Ethics & Safety; Data Engineering
noun
Definition: The process of removing or transforming personal identifiers in data so that individuals cannot be identified, directly or indirectly, from the dataset [ISO/IEC].
Example in context: “In this tier, we advocate for the currently undocumented but still widely used goal for DP ML models of achieving an ε ≤ 10 in order to provide a reasonable level of anonymization for many applications.” [Ponomareva et al. 2023]
Synonyms: anonymisation (spelling variant)
Related terms: de-identification, pseudonymization, data masking