AI literacy and role-based training programme
Gives everyone who builds, buys, operates or is overseen by AI systems the knowledge they need for their role, from general awareness to the specific skills of overseeing a high-risk system.
What this label means
- Verified
- — a named reviewer opened the official source and confirmed the record; the date and the reviewer are shown.
- Pending review
- — linked to the official source and in the queue for a reviewer to confirm.
- Source-linked
- — linked to the official source, not yet confirmed by a reviewer.
On this page 6 sections
- Duties satisfied
- 1
- done properly, does the work
- Duties supported
- 3
- contributes; the duty needs more
- Jurisdictions
- 3
- Evidence items
- 3
In brief
AI literacy and role-based training programme is a training programme, owned by the learning and development lead and run every year. 4 recorded duties in 3 jurisdictions rely on it, and it satisfies 1 of them outright. It produces 3 kinds of evidence an auditor can ask for.
How is it implemented?
A training matrix maps roles to curricula: a short awareness module for all staff, deeper content for developers, product owners, procurement, legal and risk, and system-specific instruction for people who operate or oversee a particular deployment. Content covers how the systems work, their limits, the organisation's rules, the risks of over-reliance and how to raise concerns. Completion is tracked in the learning system, refreshers are scheduled and material is revised when systems, rules or incidents change. Contractors and partners who operate systems on the organisation's behalf are included.
Which legal duties does it serve?
Satisfies means the control, operated properly, does the work the duty asks for. Supports means it contributes but the duty needs more. The official text decides; open it before relying on either.
European Union 2 duties
-
satisfies Legal requirement confidence highEnsure AI literacy of staff operating AI systems
EU AI Act · Article 4 · applies from 2 Feb 2025
Role-based curricula with completion records are the expected measure.
-
supports Legal requirementEnable and assign effective human oversight
EU AI Act · Article 14; Article 26(2) for deployers · applies from 2 Dec 2027
Overseers must be competent and alert to automation bias.
Singapore 1 duty
-
supports VoluntaryEstablish internal governance structures and measures for AI
Singapore Model AI Governance Framework · Second edition, Part on internal governance structures and measures
Staff training component.
United States 1 duty
-
supports Voluntary confidence highEstablish AI governance policies, roles and accountability (Govern)
NIST AI RMF · GOVERN function
Workforce training outcomes.
What evidence shows it is operating?
| Evidence | Type | What it shows |
|---|---|---|
| AI training completion records | Training record | Who completed which module, when, and the refresh due date. |
| Role-to-curriculum training matrix | Procedure or standard operating process | |
| AI training curriculum and materials | Policy document |
Owner: Learning and development lead. Frequency: annual.
Which risks does it address?
Subdomains of the MIT AI Risk Repository, with the incidents the AI Incident Database has recorded under each. Counts are live; they say how often a risk has materialised, not how well this control prevents it.
- 5.1 Overreliance and unsafe use Human-Computer Interaction38 incidents · 60 risk entries
- 6.5 Governance failure Socioeconomic & Environmental3 incidents · 61 risk entries
- 4.3 Fraud, scams, and targeted manipulation Malicious actors412 incidents · 77 risk entries
Which standards clauses does it correspond to?
Clause numbers only. A reference means the standard asks for overlapping work, so evidence may be reusable; it never means the standard discharges a legal duty.
| Framework | Reference | Note | Confidence |
|---|---|---|---|
| ISO/IEC 42001 | Clause 7.2, 7.3; Annex A.4.6 | high | |
| NIST AI RMF | GOVERN 2.2, 4.1 | high | |
| MITRE ATLAS | AML.M0018 User Training | medium |
Cite this record
AIPolicyTracker (2026). “AI literacy and role-based training programme” [AIPT-CTL-0006, verified 26 September 2026 by Bhaskar Bhatt]. https://aipolicytracker.org/id/AIPT-CTL-0006 (accessed 8 November 2026). Data licensed CC BY 4.0.
Permanent id AIPT-CTL-0006: it never changes or gets reused, and its address keeps working if this page moves.
BibTeX
@misc{aipolicytracker2026_ailiteracyandrolebasedtr,
author = {{AIPolicyTracker}},
title = {{AI literacy and role-based training programme}},
year = {2026},
howpublished = {\url{https://aipolicytracker.org/controls/ai-literacy-and-role-based-training}},
url = {https://aipolicytracker.org/controls/ai-literacy-and-role-based-training},
urldate = {2026-11-08},
note = {Data licensed CC BY 4.0. Accessed 8 November 2026}
}
Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.
Frequently asked questions
Which legal duties does "AI literacy and role-based training programme" satisfy?
It is recorded as satisfying 1 and supporting 3 duties across European Union, Singapore and United States. A mapping means the control, operated properly, does the work the duty asks for; the official text decides whether it is enough.
What evidence shows this control is operating?
AI training completion records, Role-to-curriculum training matrix and AI training curriculum and materials. Owner: Learning and development lead. Frequency: annual.