AIPolicyTracker
ProcedureFree · sent to your work emailEU AI Act

AI Literacy and Training Plan

Formats: XLSX and DOCX · Version v1 · Built from dataset bb068ecd9dad · CC BY 4.0. You may use, adapt and share this template, including commercially, with attribution to aipolicytracker.org.

In brief

The AI Literacy and Training Plan is a free XLSX and DOCX procedure for EU AI Act. A role-based AI literacy plan: who needs which level of training, in what format, by when, with a coverage formula and the literacy and oversight duties on record. It is licensed CC BY 4.0 and is not legal advice.

Format
XLSX and DOCX · Procedure
Version
v1, built 28 Sep 2026
Duties cited
10 from 9 instruments
Rows from the records
15
Frameworks
EU AI Act
Written for
Deployer / user organisation, Provider / developer, Public authority / government body
Price and licence
Free · CC BY 4.0

What's inside

  • Training matrix with five starter roles, levels, formats and a coverage formula
  • Plan document: objectives, curriculum, records
  • Literacy duties sheet: AI literacy and human-oversight duties

Preview

The sheets and sections of version v1, as built. Columns marked ▾ have a dropdown; ƒ is a formula.

Sheet: Training matrix · 10 columns · 5 rows from the records
First rows of the Training matrix sheet
Role or groupAI systems they use or overseeLevel needed ▾TopicsFormat ▾PeopleCompletedCoverage ƒDue byEvidence link
Board and executivesOversightAccountability, risk appetite, the obligations on record, incident escalation=
AI system ownersSpecialistClassification, documentation, oversight design, monitoring=
Staff using AI toolsAwarenessAcceptable use, limits, data handling, disclosure to customers=
Human overseersPractitionerAutomation bias, when to override, how to escalate=
Procurement and legalPractitionerVendor due diligence, contract clauses, allocation of duties=

AI literacy duties apply to staff and others operating AI on the organisation's behalf. One row per role; the coverage column shows progress.

Sheet: Literacy duties · 14 columns · 10 rows from the records
First rows of the Literacy duties sheet
DutyCategoryInstrumentJurisdictionWho it bindsNatureSource referenceApplies fromWhat it requiresEvidence a reviewer expectsISO/IEC 42001NIST AI RMFVerificationRecord
Test and monitor systems, enable human control, and be transparent with users (guardrails 4 to 6)Human oversightAustralian Voluntary AI Safety StandardAustraliaDeployer / user organisation, Provider / developerVoluntaryGuardrails 4, 5 and 6Test AI models and systems before deployment and monitor them in operation; enable meaningful human control and intervention; and inform end users about AI-enabTest reports and user disclosure recordsMEASURE and MANAGE functionsSource-linkedhttps://aipolicytracker.org/obligations/australia-vaiss-testing-human-control-transparency
Offer meaningful human review of an adverse consequential decisionHuman oversightColorado ADMT law (SB 26-189)Colorado (United States)Deployer / user organisationLegal requirement2027-01-01A consumer who receives an adverse consequential decision may obtain meaningful review by a person with the authority and information to change the outcome. ScoSource-linkedhttps://aipolicytracker.org/obligations/us-colorado-admt-human-review
Ensure AI literacy of staff operating AI systemsAI literacy and trainingEU AI ActEuropean UnionProvider / developer, Deployer / user organisationLegal requirementArticle 42025-02-02Providers and deployers must take measures to ensure, to their best extent, a sufficient level of AI literacy among their staff and other persons dealing with tAI literacy training programmeClause 7.2 Competence and 7.3 AwarenessGOVERN 2.2Source-linkedhttps://aipolicytracker.org/obligations/eu-ai-act-ai-literacy
Enable and assign effective human oversightHuman oversightEU AI ActEuropean UnionProvider / developer, Deployer / user organisationLegal requirementArticle 14; Article 26(2) for deployers2027-12-02High-risk systems must be designed with human-machine interface tools so natural persons can effectively oversee them, understand capacities and limitations, avHuman oversight procedure and role assignmentAnnex A control on human oversightGOVERN 3.2, MANAGE 2.xSource-linkedhttps://aipolicytracker.org/obligations/eu-ai-act-human-oversight
Employers and employment agencies must let candidates request an alternative selection process or accommodationHuman oversightNYC Local Law 144 (automated employment decision tools)New York (United States)Deployer / user organisationLegal requirementNYC Administrative Code Section 20-871(b)(1); 6 RCNY Section 5-3032023-07-05The advance notice to candidates and employees must allow them to request an alternative selection process or a reasonable accommodation. The DCWP rules make clAlternative-process and accommodation request logAnnex A.9.2GOVERN 5.1, MANAGE 4.1Verified against the official source 26 Sep 2026https://aipolicytracker.org/obligations/us-new-york-city-local-law-144-alternative-process-request
Determine the appropriate level of human involvement in AI decisionsHuman oversightSingapore Model AI Governance FrameworkSingaporeDeployer / user organisationVoluntarySecond edition, Part on human involvement in AI-augmented decision-makingUsing a risk-impact matrix (probability and severity of harm), organisations choose human-in-the-loop, human-over-the-loop or human-out-of-the-loop designs and Risk-impact assessment and human-involvement decisionGOVERN 3.2, MANAGE 2.xSource-linkedhttps://aipolicytracker.org/obligations/singapore-mgf-human-involvement

Document outline (DOCX)

  1. AI literacy and training plan
  2. Objectives
  3. Curriculum
  4. Records
  5. The duties this plan serves
  6. Ensure AI literacy of staff operating AI systems

How to use it

  1. 1Request the files. Enter your name, company and work email in the form on this page. The XLSX and DOCX download links arrive by email and work for 7 days.
  2. 2Read the README page. It states the version (v1), the dataset it was built from and the licence, so anyone reviewing your copy knows which records it reflects.
  3. 3Fill in your rows. Complete the "Training matrix" sheet for your own systems. Dropdowns, formulas and colour rules are already set.
  4. 4Check the duties against your situation. The "Training matrix" and "Literacy duties" sheets list the recorded duties with their source references. Mark which apply to you and follow each link to the official text.
  5. 5Complete the document. Work through the DOCX sections (AI literacy and training plan, The duties this plan serves) and replace each placeholder with your organisation's answer.
  6. 6Keep the evidence and watch for new versions. Link each completed row to the evidence that supports it. When the law on record changes, this template gets a new version and a changelog on this page.

Duties this template covers (10)

Each is cited in the file with its source reference and a link back to the record.

Legal basis

  • EU AI Act European Union · Partially applicable

Version history

Versions of AI Literacy and Training Plan
VersionBuiltDatasetWhat changed
v1bb068ecd9dadFirst version, built from dataset bb068ecd9dad.

Only the latest version is served. A rebuild that changes the content adds a version; a rebuild that does not is skipped.

Frequently asked questions

What is in the AI Literacy and Training Plan?

Training matrix with five starter roles, levels, formats and a coverage formula. Plan document: objectives, curriculum, records. Literacy duties sheet: AI literacy and human-oversight duties.

Which duties does it cite?

10 recorded duties from Australian Voluntary AI Safety Standard, Colorado ADMT law (SB 26-189), EU AI Act and NYC Local Law 144 (automated employment decision tools), including Guardrails 4, 5 and 6, Article 4, Article 14; Article 26(2) for deployers, NYC Administrative Code Section 20-871(b)(1); 6 RCNY Section 5-303, Second edition, Part on human involvement in AI-augmented decision-making and Article 34(1). Each row links to the record, and the record to the official source.

Who is it for?

The duties it cites fall on deployer / user organisation, provider / developer and public authority / government body. Whoever owns AI governance for those roles usually completes it, with the system owner supplying the facts.

Is it free?

Yes. Request the XLSX and DOCX with your work email on this page; the download links arrive by email, valid for 7 days. No account and no charge. Licensed CC BY 4.0. You may use, adapt and share this template, including commercially, with attribution to aipolicytracker.org.

How will I know when it changes?

Version v1 was built on 28 September 2026. The library is rebuilt daily; when a change to the records reaches this template it gets the next version, a changelog below and an entry in the templates feed.

Does completing it make us compliant?

No. It is an informational resource, not legal advice; it helps produce the evidence a regulator, customer or auditor asks for. Whether a duty applies to you is a judgement the template cannot make.

Disclaimer: informational only, not legal advice. Verify every claim against the linked official sources and consult a qualified lawyer before acting.