The right to erasure, also called the “right to be forgotten,” is a GDPR-related capability for removing personal data. Supporting it can lead organizations to avoid processing personal data rather than risk violations. section 11.7
Right to erasure
A data-protection right allowing a person to request deletion of their personal data under applicable conditions.
How Building Reliable AI Systems covers it
- How deep it goes
- Names the GDPR capability and its compliance pressure, but stops short of implementation steps or eligibility conditions.
- Examples
- Contrasts supporting erasure capabilities with avoiding personal-data processing to reduce violation risk.
- How it connects
- Connects erasure to GDPR, privacy compliance, explicit consent, and personal-data processing.
Also explained in
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Effective Data AnalysisThe right to be forgotten is a privacy right allowing an individual to request deletion of personal data held by an organization under applicable law.
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Introduction to Generative AI, Second EditionThe right to erasure, also called the right to be forgotten, is a data-protection right to have qualifying personal data deleted.
Compare how 3 books explain right to erasure →
Related concepts
- GDPRpart of · The General Data Protection Regulation (GDPR) is a European Union regulation governing the processing of personal data and protecting individuals’ rights concerning that data.
- data subject access requestused by · A data subject access request is an individual's request to learn whether an organization processes their personal data and to access that data.
- personal dataaddresses · Personal data is information relating to an identified or identifiable individual, whether identification is direct or possible through combination with other information.
- content filteringused by · Content filtering is the inspection and handling of content according to defined criteria, such as by blocking, modifying, flagging, or removing it.
- deletionimplemented by · Deletion is an operation that removes an item, association, or resource from a collection or system, or requests or marks it for removal.
This explainer was generated by Manning's knowledge graph from the text of Building Reliable AI Systems. The section links point to the parts of the book it draws on.