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OECD AI Principles

A Council Recommendation, first adopted in 2019 and updated in 2024 by the Organisation for Economic Co-operation and Development, setting out voluntary principles for trustworthy AI; adopted by consensus among member and partner countries, carrying political but not binding legal weight.

Defined in 4 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in The AI Lobbyist: Certified AI Policy Strategist.

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 AI Lobbyist: Certified AI Policy Strategist

A Council Recommendation, first adopted in 2019 and updated in 2024 by the Organisation for Economic Co-operation and Development, setting out voluntary principles for trustworthy AI; adopted by consensus among member and partner countries, carrying political but not binding legal weight.

Certified AI Governance Professional (CAIGP)

An intergovernmental set of AI principles (adopted 2019, updated 2024) that function as reference soft law: influential and widely endorsed, but not directly enforceable operational law. A voluntary-pile instrument that shapes standards and laws without binding companies itself.

Certified China AI Regulatory Professional (CCARP)

A set of five non-binding, values-based principles adopted by OECD member and partner countries beginning in 2019, used in this topic as a comparative timeline data point against China's own principles-then-law sequence. (see Topic 9.1)

Certified AI Practitioner: Workplace Foundations

The non-binding international principles adopted May 2019 and updated 2024 (inclusive growth, rule of law and rights, transparency, robustness, accountability) that underpin most national AI frameworks.

The AI Lobbyist: Certified AI Policy Strategist

the Organisation for Economic Co-operation and Development's five values-based principles and five recommendations for AI policy, adopted 2019 and updated May 2024, with 47 adherents as of the update.

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 OECD AI Principles 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.

3 lessons on this page teach it as a primary outcome.

Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.

2 lessons 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.

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”“eu ai act”“ai act”

Where the frameworks place it: EU AI Act; NIST AI RMF; ISO/IEC 42001; Regulation (EU) 2024/1689.

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.