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PDPA (Personal Data Protection Act)

Singapore's principal data protection law, enforced by the PDPC, which imposes an accountability obligation requiring organizations to document policies and be able to demonstrate compliance, including maintaining a data inventory covering the same substantive content Article 30 requires.

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).

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.

Certified AI Data Governance Professional (CADGP)

Singapore's principal data protection law, enforced by the PDPC, which imposes an accountability obligation requiring organizations to document policies and be able to demonstrate compliance, including maintaining a data inventory covering the same substantive content Article 30 requires.

Certified AI Governance Professional (CAIGP)

Singapore's binding data protection statute. Contrasted in this topic with the Agentic MGF's voluntary status; the PDPA's own generative AI guidelines remain advisory even though the underlying Act is statute.

Certified AI Data Governance Professional (CADGP)

Singapore's general data protection law, amended in 2021 to introduce "deemed consent by notification," an opt-out mechanism sitting structurally between GDPR's explicit consent and legitimate interest.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where PDPA (Personal Data Protection Act) 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.

Compares the EU AI Act, NIST AI RMF, ISO/IEC 42001 and sector rules by intent and control objective, and says where they do not overlap.

One lesson on this page teach it as a primary outcome.

Keeps the living record: each risk with a named owner, rating, treatment, residual risk, monitoring metric, threshold and review date.

One lesson on this page teach it as a primary outcome.

AI policy and standards writingGovernance and Oversight

Writes policies with scope, responsibilities, requirements, exceptions and evidence, so people can follow them and auditors can test 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.

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.

“map requirements”“framework alignment”“multiple frameworks”“unified control framework”“risk register”“risk treatment”

Where the frameworks place it: EU AI Act; NIST AI RMF; ISO/IEC 42001; NIST AI RMF MANAGE.

One interview question about it

Map one control to the EU AI Act, NIST AI RMF and ISO/IEC 42001 at once, and tell me where the mapping breaks.

Asked of candidates for framework crosswalking without false equivalence. 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.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.