Legitimate interest
A legal basis under the GDPR (Article 6(1)(f)) that can permit processing where the controller's interest is not overridden by the rights of the people, established through a documented balancing test (a legitimate interest assessment, or LIA). It is flexible but not unlimited, and it does not by itself carry special-category data.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
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.
A legal basis under the GDPR (Article 6(1)(f)) that can permit processing where the controller's interest is not overridden by the rights of the people, established through a documented balancing test (a legitimate interest assessment, or LIA). It is flexible but not unlimited, and it does not by itself carry special-category data.
A GDPR Article 6(1)(f) lawful basis requiring an organization to demonstrate a real interest, necessity of the processing for that interest, and that the interest is not overridden by the data subject's rights, through a documented balancing test.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Purpose archaeology: what your data was collected FOR versus what it feeds now · Consent, Purpose, and the Law of Data, Certified AI Data Governance Professional (CADGP)
- Consent archaeology: what this data was collected for versus what you want to do · Data Reality, Certified AI Governance Professional (CAIGP)
Where it shows up at work
A definition is where Legitimate interest starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Applies GDPR, CCPA and sector rules to training data, inference, automated decisions, lawful basis, individual rights and cross-border transfer.
One lesson on this page teach it as a primary outcome.
Traces where data came from, what transformed it, who owns each hop and where it flows downstream, so a number can be defended.
One lesson on this page teach it as a primary outcome.
Classifies information, applies least privilege, sets retention and acceptable-use rules, and controls what may enter a prompt, a log or an embedding.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Privacy Analystneeds working knowledge
- AI Privacy Engineerneeds it at depth · 6 open postings this week
- Data Governance Leadneeds it at depth · 2 open postings this week
- Chief Data Officer, data leadership editionneeds it at depth
- Chief Privacy Officer, AI privacy editionneeds it at depth
- AI Regulatory Counselneeds it at depth · 14 open postings this week
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: GDPR; CCPA/CPRA; EU AI Act Article 27; EU AI Act Article 10.
One interview question about it
Apply a privacy law you know to a model trained on customer records. Where is the legal basis, and where is the risk?
Asked of candidates for privacy law applied to ai. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Privacy and data protection carries it as work you can show: Privacy assessments and lawful-basis records are your work product.
- Legal and paralegal work carries it as a claim to back up: Privacy and consumer law are usually within reach.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: Privacy and data protection law are usually a course, not yet a file.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.