EU AI Act Art. 4: AI literacy
AI literacy: take measures to support the development of AI literacy among staff and operators
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 20 other frameworks; the crosswalk section below links each clause.
Data table: the dates
| Date | Step | Detail |
|---|---|---|
| 2025-02-02 | In force | reworded 2026-07-27 (in force) |
| 2026-07-27 | Later step | Omnibus rewording in force: providers and deployers take measures to support AI literacy |
- 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
- In force · reworded 2026-07-27 (in force)
- Later dates
-
- 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.
Data table: every relation
| Family | Item | Relation |
|---|---|---|
| Patterns | Sanctioned AI Gateway | Direct |
| Open controls | AIGE-CTL-DEPLOY-003 Oversight by trained people with authority to stop | Direct |
| Open controls | AIGE-CTL-DEPLOY-016 People who work with agents trained, and the manual path kept | Direct |
| Open controls | AIGE-CTL-DEPLOY-014 Sanctioned AI gateway for staff use | Direct |
| Cases | Source code pasted into a public chatbot (reported) | Cites the article |
| Same crosswalk topic | AI Verify 9.1.1, 9.5.2, 9.5.3, 5.1.1, 8.4.1 | Core clause |
| Same crosswalk topic | CSA AICM GRC-01, GRC-06, HRS-14, HRS-11 | Core clause |
| Same crosswalk topic | China Algo. Rec. AlgoRec Art. 7 | Core clause |
| Same crosswalk topic | China Deep Synthesis DeepSyn Art. 7 | Core clause |
| Same crosswalk topic | China GenAI Measures GenAI Art. 9, GenAI Art. 10 | Core clause |
| Same crosswalk topic | EU AI Act Art. 17, Art. 87, Art. 26(2), Art. 95(2)(c) | Core clause |
| Same crosswalk topic | GAO AI Accountability 1.2, 1.1, 1.3, 1.4 | Core clause |
| Same crosswalk topic | GDPR Art. 5(2), Art. 39(1)(b) | Core clause |
| Same crosswalk topic | ISO 42001 5.1, 5.2, 5.3, A.2, A.3, 9.3, 7.2, 9.2, 10.1, 7.3 | Core clause |
| Same crosswalk topic | NIST AI RMF GOVERN 1, GOVERN 2, GOVERN 4, GOVERN 5, GOVERN 2.2, MAP 3.4 | Core clause |
| Same crosswalk topic | OECD AI Principles OECD 1.5 | Core clause |
| Same crosswalk topic | Singapore Agentic Agentic 2.2.1, Agentic 2.4 | Core clause |
| Same crosswalk topic | Singapore GenAI GenAI 1, GenAI 9 | Core clause |
| Same crosswalk topic | TC260 Framework 3.0 TC260 4, TC260 5.3.12 | Core clause |
| Same crosswalk topic | UK ATRS ATRS 2.1, ATRS 2.3.4 | Core clause |
| Same crosswalk topic | CoE Convention CoE Art. 9 | Related clause |
| Same crosswalk topic | EN 18286 EN 18286 | Related clause |
| Same crosswalk topic | G7 Code G7 Action 5 | Related clause |
| Same crosswalk topic | GPAI Code Safety C8 | Related clause |
| Same crosswalk topic | Korea AI Act Art. 36 | Related clause |
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)
- AI Verify 9.1.1 Accountability: establish policies on the development and use of AI aligned with other organisational policies (core)
- AI Verify 9.5.2 Accountability: clear internal governance mechanisms and roles, including a cross-departmental AI governance committee (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
- AI Verify 9.5.3 Accountability: policies, procedures and training so that staff know their duties and the organisation's risk management practices
- AI Verify 5.1.1 Security: training and guidance on AI security risks for all personnel, including developers, system owners and senior leaders
- AI Verify 8.4.1 Data Governance: ensure team competency in data governance roles and responsibilities
Cases that cite this article
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-003Oversight by trained people with authority to stop (Deployment and monitoring profile) -
AIGE-CTL-DEPLOY-014Sanctioned AI gateway for staff use (Deployment and monitoring profile) -
AIGE-CTL-DEPLOY-016People who work with agents trained, and the manual path kept (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}
}