Text and data mining (TDM) opt-out
A machine-readable reservation of rights expressed by a rights holder under Article 4(3) of Directive (EU) 2019/790, directing that their content may not be used for text and data mining. GPAI providers must have a policy to identify and honor these opt-outs using state-of-the-art technologies, as required by Article 53(1)(c). Common technical expressions include robots.txt directives and metadata flags.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
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 machine-readable reservation of rights expressed by a rights holder under Article 4(3) of Directive (EU) 2019/790, directing that their content may not be used for text and data mining. GPAI providers must have a policy to identify and honor these opt-outs using state-of-the-art technologies, as required by Article 53(1)(c). Common technical expressions include robots.txt directives and metadata flags.
The rights-reservation mechanism under Article 4(3) of the EU Copyright in the Digital Single Market Directive (2019) by which rightsholders can reserve their works from being mined for AI training. GPAI providers must honor these reservations.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Who owns the output: IP, training-data provenance, and the liability chain when AI work goes wrong · Evidence Engineering, Certified AI Governance Professional (CAIGP)
- GPAI Transparency and Documentation (Article 53) · General-Purpose AI (GPAI) Models, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Text and data mining (TDM) opt-out 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.
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
One lesson on this page teach it as a primary outcome.
Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.
One lesson on this page teach it as a primary outcome.
Reads and applies content provenance infrastructure: C2PA content credentials, watermarking, machine readable AI labels, and the transparency duties that now require them.
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.
- AI Regulatory Counselneeds it at depth · 14 open postings this week
- AI Compliance Managerneeds it at depth · 2 open postings this week
- Senior AI Compliance Analystneeds it at depth
- AI Compliance Specialistneeds working knowledge · 1 open posting this week
- Chief Privacy Officer, AI privacy editionneeds working knowledge
- Chief Compliance Officer, AI compliance editionneeds working knowledge
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: Regulation (EU) 2024/1689; Regulation (EU) 2026/1744; EU AI Act Articles 13 and 50; NIST AI RMF trustworthiness characteristics.
One interview question about it
Classify a specific AI system under the EU AI Act and name the obligations that follow, including what applies now and what is deferred.
Asked of candidates for eu ai act obligations and timelines. 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.
- A law degree (JD, LLB or LLM), no AI work yet carries it as a claim to back up: The EU AI Act reads like the statutes you were trained on; the content is new, the method is not.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.