Legitimate interest assessment (LIA)
The documented, typically three-step analysis used to decide whether legitimate interest is an appropriate basis: identifying the interest, testing whether the processing is genuinely necessary for it, and balancing it against the rights and reasonable expectations of the people affected. The EDPB's Opinion 28/2024 applies this structure to AI development and deployment.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The documented, typically three-step analysis used to decide whether legitimate interest is an appropriate basis: identifying the interest, testing whether the processing is genuinely necessary for it, and balancing it against the rights and reasonable expectations of the people affected. The EDPB's Opinion 28/2024 applies this structure to AI development and deployment.
The written, three-part analysis (purpose test, necessity test, balancing test) an organization documents to justify relying on Article 6(1)(f) for a specific processing activity, built before the processing begins or challenged, not written retroactively to defend it.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Lawful basis, spelled out: consent, contract, legitimate interest, and which one actually covers each dataset · Consent, Purpose, and the Law of Data, AI Data Governance: The Data Chair
- Consent archaeology: what this data was collected for versus what you want to do · Data Reality, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.