EU AI Act Art. 4: AI literacy

AI literacy: take measures to support the development of AI literacy among staff and operators

By Jorge García Aibar Reviewed 2026-09-24

From clause to evidence Build the artefact, then file every output it produces as a record that names AIGE-OBL-EUAIA-ART4. Drawn from chapter 08.

Text alternative

Clause: EU AI Act, Art. 4.
Duty holder: Provider + deployer.
Applies from: 2025-02-02, In force.
Artefact: Literacy programme as code.
Layer: Layer 01 Govern-as-Code.
Evidence record: Training record.
Record schemas: Training record .
The same topic in 19 other frameworks; the crosswalk section below links each clause.

Id

AIGE-OBL-EUAIA-ART4

Instrument

EU AI Act (post-Omnibus) law

Compared side by side

ISO 42001 vs EU AI Act · NIST AI RMF vs EU AI Act

Clause

Art. 4

Duty holder

Provider + deployer

Authority

Provider/deployer duty; national MSA

Applies from

2025-02-02 In force · reworded 2026-07-27 (in force)

Later dates

2026-07-27 Omnibus rewording in force: providers and deployers take measures to support AI literacy

System class

All AI systems

The artefact that evidences it

Literacy programme as code; role-based training records; onboarding gates.

L1 Govern-as-Code

Patterns that build it

Sanctioned AI Gateway (layer 4 and 2)

The same topic in other frameworks

From the topic crosswalk: the clauses filed under the same topics as this one. Mappings are illustrative, not a claim of conformity.

Governance and accountability

EU AI Act Art. 17 Quality management system (core)
ISO 42001 5.1 Leadership and commitment (core)
ISO 42001 5.2 AI policy (core)
ISO 42001 5.3 Roles, responsibilities and authorities (core)
ISO 42001 A.2 Policies related to AI (core)
ISO 42001 A.3 Internal organization (core)
NIST AI RMF GOVERN 1 GOVERN 1: Policies, processes, procedures, and practices across the organization related to the mapping, measuring, and managing of AI risks are in place, transparent, and implemented effectively (core)
NIST AI RMF GOVERN 2 GOVERN 2: Accountability structures are in place so that the appropriate teams and individuals are empowered, responsible, and trained (core)
TC260 Framework 3.0 TC260 4 Comprehensive governance measures (core)
TC260 Framework 3.0 TC260 5.3.12 Traceable chain of responsibility (core)
China GenAI Measures GenAI Art. 9 Provider responsibility as content producer (core)
China Algo. Rec. AlgoRec Art. 7 Algorithm-security responsibility system (core)
China Deep Synthesis DeepSyn Art. 7 Information-security responsibility system (core)
GDPR Art. 5(2) Accountability (core)
ISO 42001 9.3 Management review (core) (clause not verified)
CSA AICM GRC-01 Governance Program Policy and Procedures (core)
CSA AICM GRC-06 Governance Responsibility Model (core)
UK ATRS ATRS 2.1 Owner and responsibility (core)
Singapore GenAI GenAI 1 Accountability (core)
Singapore Agentic Agentic 2.2.1 Clear allocation of responsibilities within and outside the organisation (core)
OECD AI Principles OECD 1.5 Accountability (core)
GAO AI Accountability 1.2 Roles and responsibilities: define clear roles, responsibilities, and delegation of authority for the AI system (core)
EU AI Act Art. 87 Reporting of infringements and protection of reporting persons
ISO 42001 7.2 Competence (clause not verified)
ISO 42001 9.2 Internal audit (clause not verified)
ISO 42001 10.1 Continual improvement (clause not verified)
NIST AI RMF GOVERN 4 GOVERN 4: Organizational teams are committed to a culture that considers and communicates AI risk
NIST AI RMF GOVERN 5 GOVERN 5: Processes are in place for robust engagement with relevant AI actors
GPAI Code Safety C8 Commitment 8: Systemic risk responsibility allocation
Korea AI Act Art. 36 Domestic representative
CoE Convention CoE Art. 9 Accountability and responsibility
G7 Code G7 Action 5 Develop, implement and disclose AI governance and risk-management policies
EN 18286 EN 18286 Quality management system for EU AI Act regulatory purposes
GAO AI Accountability 1.1 Clear goals: define clear goals and objectives for the AI system
GAO AI Accountability 1.3 Values: demonstrate a commitment to values and principles established by the entity

AI literacy and competence

ISO 42001 7.2 Competence (core) (clause not verified)
NIST AI RMF GOVERN 2.2 GOVERN 2.2: The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements (core)
CSA AICM HRS-14 AI Competency Training (core)
Singapore Agentic Agentic 2.4 Enable end-user responsibility (core)
EU AI Act Art. 26(2) Oversight by people with the competence, training and authority it needs
EU AI Act Art. 95(2)(c) Codes of conduct: promoting AI literacy
GDPR Art. 39(1)(b) DPO tasks: awareness-raising and training of staff (clause not verified)
ISO 42001 7.3 Awareness (clause not verified)
NIST AI RMF MAP 3.4 MAP 3.4: Processes for operator and practitioner proficiency with AI system performance and trustworthiness, and relevant technical standards and certifications, are defined, assessed, and documented
CSA AICM HRS-11 Security Awareness Training
UK ATRS ATRS 2.3.4 Required training
Singapore GenAI GenAI 9 AI for Public Good
China GenAI Measures GenAI Art. 10 Guide users to understand and use generative AI rationally
GAO AI Accountability 1.4 Workforce: recruit, develop, and retain personnel with multidisciplinary skills and experiences

Cases that cite this article

Source code pasted into a public chatbot (reported) (2023)

Open controls that evidence it

Draft controls in the open control profiles that map to this row: each states a requirement and the evidence it must leave behind.

AIGE-CTL-DEPLOY-003 Oversight by trained people with authority to stop (Deployment and monitoring profile)
AIGE-CTL-DEPLOY-014 Sanctioned AI gateway for staff use (Deployment and monitoring profile)

Source

Chapter 08, section EU AI Act, post-Omnibus, checked against its sources on the review date above.

Machine-readable

This obligation: /api/v1/obligations/aige-obl-euaia-art4.json
The register: /api/v1/obligations.json · CSV
Schema and stability promise: open data and API

Cite this obligation

García Aibar, J. (2026). EU AI Act Art. 4: AI literacy (AIGE-OBL-EUAIA-ART4). In AI Governance Engineering: The Thesis & Body of Knowledge (v0.5.0). https://doi.org/10.5281/zenodo.22956197. https://aigovernanceengineer.com/obligations/aige-obl-euaia-art4. CC BY 4.0

BibTeX

@misc{aige2026obligation,
  author       = {Jorge García Aibar},
  title        = {{EU AI Act Art. 4: AI literacy (AIGE-OBL-EUAIA-ART4)}},
  howpublished = {In AI Governance Engineering: The Thesis \& Body of Knowledge},
  year         = {2026},
  version      = {0.5.0},
  doi          = {10.5281/zenodo.22956197},
  url          = {https://aigovernanceengineer.com/obligations/aige-obl-euaia-art4},
  note         = {Version 0.5.0}
}