AI Literacy and Training Standard

Document Type: Standard
Standard ID: STD-AI-014
Standard Title: AI Literacy and Training Standard
Version: 1.0
Effective Date: 2025-08-01
Next Review Date: 2026-08-01
Review Frequency: Annually or upon regulatory change
Parent Policy: POL-AI-001 - Artificial Intelligence Policy
Owner: HR Director
Approved By: AI Governance Committee Chair
Status: Draft
Classification: Internal Use Only

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TABLE OF CONTENTS

1. Document History
2. Objective
3. Scope and Applicability
4. Control Standard
5. Supporting Procedures
6. Compliance
7. Roles and Responsibilities
8. Exceptions
9. Enforcement
10. Key Performance Indicators (KPIs)
11. Training Requirements
12. Definitions
13. Link with AI Act and ISO42001

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DOCUMENT HISTORY

Version	Date	Author	Changes	Approval Date	Approved By
0.1	2025-07-20	HR Director	Initial draft	-	-
0.2	2025-08-01	HR Director	Added Article 4/Recital 106 details	-	-
0.3	2025-08-01	HR Director	Incorporated stakeholder feedback	-	-
1.0	2025-08-01	HR Director	Final version approved - GRC restructured	2025-07-25	Jane Doe, AI Governance Committee Chair

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OBJECTIVE

This standard defines requirements for ensuring all staff dealing with AI systems have appropriate AI literacy and training in compliance with EU AI Act Article 4 and Recital 106.

Primary Goals:

• Develop comprehensive AI literacy program
• Deliver training and track completion
• Assess and verify AI competency
• Ensure ongoing development and continuous learning

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SCOPE AND APPLICABILITY

2.1 Mandatory Applicability

This standard is mandatory for:

• All staff working with AI systems
• All staff involved in AI development, deployment, or oversight
• All personnel with AI-related responsibilities

2.2 Recommended Applicability

This standard is recommended for:

• All employees (general AI awareness)
• Contractors and third parties working with AI systems

2.3 Training Requirements Covered

• AI literacy program development
• Training curriculum and content
• Training delivery and tracking
• Competency assessment
• Ongoing development

2.4 Out of Scope

• General IT training (covered by IT training programs)
• Non-AI system training (covered by other training standards)
• Training outside EU AI Act scope

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CONTROL STANDARD

Control LIT-001: AI Literacy Training Curriculum Development

Control ID: LIT-001
Control Name: AI Literacy Training Curriculum and Content Development
Control Type: Preventive
Control Frequency: Initial development, annual review
Risk Level: Medium

Control Objective

Develop comprehensive AI literacy training curriculum with appropriate content for different roles and competency levels to ensure all staff have necessary AI knowledge and skills.

Control Requirements

CR-001.1: Training Curriculum Development

Develop training curricula for different competency levels.

Training Levels:

Level	Audience	Content	Duration	Assessment
Level 1: AI Awareness	All employees	AI basics, EU AI Act overview, prohibited practices	2 hours	Knowledge check (≥80%)
Level 2: AI User	AI system users	How to use AI systems, limitations, human oversight	4 hours	Knowledge check (≥80%) + Practical exercise
Level 3: AI Professional	AI developers, data scientists	Technical AI, EU AI Act compliance, risk management	16 hours	Written exam (≥90%) + Practical exercise
Level 4: AI Governance	AI Governance Committee, executives	Strategic AI, governance, compliance oversight	8 hours	Written exam (≥90%)

Mandatory Actions:

• Develop training curricula for all levels
• Create training materials
• Obtain subject matter expert review
• Pilot training
• Refine based on feedback
• Review and update annually

CR-001.2: Training Content Development

Develop comprehensive training content covering core and role-specific topics.

Core Topics (All Levels):

Topic	Description	Coverage Level
AI Fundamentals	AI basics, capabilities, limitations	All levels
EU AI Act Overview	Regulation overview, key requirements	All levels
Prohibited Practices	Article 5 prohibited practices	All levels
High-Risk AI Requirements	Requirements for high-risk AI	Level 2+
Risk Management	Risk assessment and management	Level 3+
Data Governance and Bias	Data quality, bias mitigation	Level 3+
Human Oversight	Human oversight requirements	Level 2+
Transparency Obligations	Transparency and explainability	Level 2+
Incident Reporting	Incident detection and reporting	Level 2+
Ethical AI Principles	Ethical AI, fairness, accountability	All levels

Role-Specific Topics:

Role	Additional Topics	Training Level
Developers	Technical requirements, testing, documentation	Level 3
Data Scientists	Data quality, bias mitigation, fairness	Level 3
Product Managers	Classification, conformity assessment, registration	Level 3
Legal	Compliance, contracts, liability	Level 3
Executives	Governance, strategy, oversight	Level 4

Mandatory Actions:

• Define core and role-specific content
• Develop training modules
• Create assessments
• Update content regularly
• Review annually

Evidence Required:

• Training curricula
• Training materials
• Training content library
• Training modules
• Assessments
• Review records
• Pilot feedback

Audit Verification:

• Verify training curricula developed for all levels
• Confirm training content covers all required topics
• Check subject matter expert review conducted
• Validate training piloted and refined
• Verify annual review completed

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Control LIT-002: Training Delivery

Control ID: LIT-002
Control Name: AI Literacy Training Delivery
Control Type: Preventive
Control Frequency: Per training session, ongoing
Risk Level: Medium

Control Objective

Deliver AI literacy training using appropriate methods to ensure all staff receive required training and achieve competency.

Control Requirements

CR-002.1: Training Delivery Methods

Deliver training using appropriate methods for different audiences.

Delivery Methods:

Method	Description	When to Use	Advantages
In-Person Training	Classroom-based training	Initial training, complex topics	Interactive, hands-on
Virtual Instructor-Led	Online live training	Remote teams, flexible scheduling	Accessible, interactive
E-Learning Modules	Self-paced online training	Refresher, awareness training	Flexible, scalable
On-the-Job Training	Practical training in workplace	Skill application, mentoring	Practical, contextual
Workshops and Seminars	Interactive sessions	Updates, advanced topics	Collaborative, engaging

Mandatory Actions:

• Schedule training sessions
• Deliver training per curriculum
• Track attendance
• Conduct assessments
• Issue certificates
• Document delivery

Training Delivery Schedule:

Training Level	Initial Training	Refresher Training	Update Training
Level 1: AI Awareness	At onboarding	Annually	As needed
Level 2: AI User	Before using AI systems	Annually	When new AI systems introduced
Level 3: AI Professional	Before AI work	Annually	When regulations change
Level 4: AI Governance	At appointment	Annually	When regulations change

Evidence Required:

• Training schedule
• Attendance records
• Assessment results
• Training certificates
• Delivery records

Audit Verification:

• Verify training delivered per schedule
• Confirm attendance tracked
• Check assessments conducted
• Validate certificates issued

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Control LIT-003: Training Tracking and Completion

Control ID: LIT-003
Control Name: Training Completion Tracking and Monitoring
Control Type: Detective
Control Frequency: Continuous, quarterly reviews
Risk Level: Medium

Control Objective

Track training completion and monitor training effectiveness to ensure all staff complete required training and training achieves its objectives.

Control Requirements

CR-003.1: Training Tracking

Track training completion and effectiveness.

Tracking Requirements:

Requirement	Description	Measurement	Target
Training Completion	Track who completed training	% completed	100%
Assessment Scores	Track assessment performance	Average score	≥90%
Training Effectiveness	Monitor training effectiveness	Effectiveness score	≥4.0/5.0
Training Gaps	Identify training gaps	Gap analysis	Address gaps
Training Metrics	Report training metrics	Metrics dashboard	Quarterly

Mandatory Actions:

• Maintain training records
• Track completion rates
• Monitor assessment scores
• Monitor training effectiveness
• Identify training gaps
• Generate reports
• Address gaps

Training Records:

Record Type	Content	Retention	Access
Training Attendance	Who attended, when	10 years	HR, Managers
Assessment Scores	Assessment results	10 years	HR, Managers
Training Certificates	Certificates issued	10 years	HR, Employees
Competency Records	Competency levels	10 years	HR, Managers
Training Transcripts	Individual training history	10 years	HR, Employees

Evidence Required:

• Training management system records
• Completion reports
• Effectiveness metrics
• Gap analysis
• Training reports

Audit Verification:

• Verify training records maintained
• Confirm completion tracked
• Check effectiveness monitored
• Validate gaps identified and addressed

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Control LIT-004: Competency Assessment

Control ID: LIT-004
Control Name: AI Competency Assessment and Verification
Control Type: Detective
Control Frequency: Per training, annually
Risk Level: Medium

Control Objective

Assess and verify AI competency to ensure staff have appropriate knowledge and skills for their roles.

Control Requirements

CR-004.1: Competency Assessment Methods

Conduct competency assessments using appropriate methods.

Assessment Methods:

Method	Description	When to Use	Success Criteria
Written Exams	Knowledge assessment	After training	≥90% for Level 3+, ≥80% for others
Practical Exercises	Skill application	After training	Successful completion
Case Studies	Scenario-based assessment	Advanced training	Correct analysis
On-the-Job Observations	Workplace competency	Ongoing	Meets competency criteria
Peer Reviews	Peer assessment	Advanced roles	Positive feedback

Competency Levels:

Level	Description	Requirements	Assessment
Basic	Understands AI fundamentals and EU AI Act basics	Level 1 training completed	Knowledge check passed
Intermediate	Can apply AI knowledge in role	Level 2-3 training completed	Assessment passed + practical exercise
Advanced	Can lead AI initiatives and ensure compliance	Level 3 training completed + experience	Exam passed + demonstrated competency
Expert	Can provide guidance and training to others	Level 3-4 training completed + extensive experience	Advanced assessment + peer recognition

Mandatory Actions:

• Conduct competency assessments
• Evaluate results
• Provide feedback
• Identify development needs
• Track competency levels
• Update competency records

Evidence Required:

• Assessment records
• Competency evaluations
• Development plans
• Competency tracking records

Audit Verification:

• Verify competency assessments conducted
• Confirm results evaluated
• Check development needs identified
• Validate competency levels tracked

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Control LIT-005: Ongoing Development and Continuous Learning

Control ID: LIT-005
Control Name: Ongoing AI Training and Development
Control Type: Preventive
Control Frequency: Ongoing, annually
Risk Level: Low

Control Objective

Provide ongoing development and continuous learning opportunities to ensure staff maintain and enhance AI competency.

Control Requirements

CR-005.1: Ongoing Development

Provide ongoing development opportunities.

Ongoing Development Requirements:

Requirement	Description	Frequency	Implementation
Annual Refresher Training	Refresher training on core topics	Annually	Refresher courses
Regulatory Update Training	Training on regulatory changes	When regulations change	Update sessions
New AI System Training	Training on new AI systems	When new systems introduced	System-specific training
Continuous Learning	Ongoing learning opportunities	Ongoing	Learning resources
Professional Development	Professional development programs	Ongoing	Development programs

Mandatory Actions:

• Provide annual refresher training
• Communicate regulatory updates
• Offer training on new AI systems
• Provide continuous learning opportunities
• Support professional development
• Track ongoing learning

Continuous Learning Resources:

Resource Type	Description	Access	Frequency
E-Learning Library	Online training modules	All staff	Ongoing
Knowledge Base	AI knowledge articles	All staff	Ongoing
Webinars	Live training sessions	All staff	Monthly
Newsletters	AI updates and news	All staff	Monthly
Communities of Practice	Peer learning groups	Interested staff	Ongoing

Evidence Required:

• Refresher training records
• Update communications
• Development activity logs
• Learning resource usage
• Professional development records

Audit Verification:

• Verify refresher training provided
• Confirm regulatory updates communicated
• Check continuous learning opportunities available
• Validate ongoing learning tracked

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SUPPORTING PROCEDURES

This standard is implemented through the following detailed procedures:

Procedure PROC-AI-LIT-001: AI Literacy Training Program Procedure

Purpose: Define step-by-step process for AI literacy training program
Owner: HR Director
Implements: Controls LIT-001, LIT-002, LIT-003

Procedure Steps:

1. Develop training curriculum - Control LIT-001
2. Develop training content
3. Deliver training - Control LIT-002
4. Track training completion - Control LIT-003
5. Monitor effectiveness
6. Update program

Outputs:

• Training curricula
• Training materials
• Training delivery records
• Completion reports

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Procedure PROC-AI-LIT-002: Competency Assessment Procedure

Purpose: Define process for competency assessment
Owner: HR Director
Implements: Controls LIT-004, LIT-005

Procedure Steps:

1. Conduct competency assessments - Control LIT-004
2. Evaluate results
3. Identify development needs
4. Provide ongoing development - Control LIT-005
5. Track competency

Outputs:

• Assessment records
• Competency evaluations
• Development plans

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COMPLIANCE

5.1 Compliance Monitoring

Monitoring Approach: Continuous automated monitoring supplemented by monthly manual reviews and quarterly comprehensive audits.

Compliance Metrics:

Metric	Target	Measurement Method	Frequency	Owner
Training Completion Rate	100%	% of staff completing required training	Quarterly	HR Director
Assessment Pass Rate	≥90%	% passing assessments on first attempt	Per training	HR Director
Training Effectiveness	≥4.0/5.0	Training effectiveness score	Per training	HR Director
Competency Level	≥Intermediate	Average competency level	Annually	HR Director
Refresher Training Completion	100%	% completing annual refresher	Annually	HR Director

Monitoring Tools:

• Training Management System
• Training Dashboard
• Compliance Reports
• Monthly compliance reports
• Quarterly AI Governance Committee reviews

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5.2 Internal Audit Requirements

Audit Frequency: Annually (minimum)

Audit Scope:

• Training program completeness
• Training delivery quality
• Training completion rates
• Competency assessment effectiveness
• Ongoing development coverage
• Controls effectiveness (LIT-001 through LIT-005)

Audit Activities:

• Review 100% of training programs
• Sample 20% of training sessions for quality review
• Test training tracking system
• Review competency assessments
• Interview staff on training effectiveness

Audit Outputs:

• Annual AI Literacy and Training Audit Report
• Findings and recommendations
• Corrective action plans for deficiencies

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5.3 External Audit / Regulatory Inspection

Preparation:

• Maintain audit-ready training documentation at all times
• Designate HR Director and Legal as regulatory liaisons
• Prepare standard response procedures for authority requests

Provide to Auditors/Regulators:

• Training curricula
• Training records
• Competency assessments
• Training effectiveness reports
• Internal audit reports
• Evidence of controls execution

Authority Request Response:

• Acknowledge request within 1 business day
• Provide requested documentation within 5 business days
• Coordinate through Legal and HR Director
• Document all interactions with authorities

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ROLES AND RESPONSIBILITIES

6.1 RACI Matrix

Activity	HR Director	Training	Managers	AI Act Program Manager	Subject Matter Experts
Training Curriculum Development	R/A	R	C	C	R
Training Content Development	R	R	C	C	R
Training Delivery	R	R	C	I	C
Training Tracking	R	R	A	I	I
Competency Assessment	R	R	A	C	C
Ongoing Development	R	R	A	I	C

RACI Legend:

• R = Responsible (does the work)
• A = Accountable (ultimately answerable)
• C = Consulted (provides input)
• I = Informed (kept up-to-date)

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6.2 Role Descriptions

HR Director

• Primary Responsibility: Owns AI literacy and training framework, ensures compliance
• Key Activities:
  • Establishes training framework
  • Oversees training program
  • Monitors training effectiveness
  • Reports to management
• Required Competencies: Training management, EU AI Act Article 4, competency assessment

Training

• Primary Responsibility: Develops and delivers training
• Key Activities:
  • Develops training curricula
  • Creates training materials
  • Delivers training
  • Tracks completion
• Required Competencies: Training development, instructional design, training delivery

Managers

• Primary Responsibility: Accountable for their staff's training completion
• Key Activities:
  • Ensures staff complete training
  • Monitors competency
  • Supports development
• Required Competencies: People management, training awareness

AI Act Program Manager

• Primary Responsibility: Provides AI Act expertise for training
• Key Activities:
  • Reviews training content
  • Provides subject matter expertise
  • Ensures regulatory accuracy
• Required Competencies: EU AI Act expertise, training content review

Subject Matter Experts

• Primary Responsibility: Provides technical expertise for training
• Key Activities:
  • Reviews training content
  • Provides expertise
  • Delivers specialized training
• Required Competencies: AI expertise, domain knowledge

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EXCEPTIONS

7.1 Exception Philosophy

AI literacy and training is a critical compliance activity for staff working with AI systems. Exceptions are granted restrictively and only where compensating controls adequately mitigate risks.

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7.2 Allowed Exceptions

The following exceptions may be granted with proper justification and approval:

Exception Type	Justification Required	Maximum Duration	Approval Authority	Compensating Controls
Extended Training Timeline	Resource constraints prevent timely training	30 days	HR Director	Interim supervision; Accelerated plan
Alternative Training Method	Alternative method equally effective	Permanent	HR Director	Document rationale; Effectiveness verification

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7.3 Prohibited Exceptions

The following exceptions cannot be granted under any circumstances:

❌ Skipping training for AI staff - Mandatory per Article 4, no exceptions
❌ Skipping competency assessment - Required to verify competency
❌ Skipping refresher training - Required for ongoing competency

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7.4 Exception Request Process

Step 1: Submit Exception Request

• Complete Exception Request Form (FORM-AI-EXCEPTION-001)
• Include business justification
• Propose compensating controls
• Specify duration requested
• Attach risk assessment

Step 2: Risk Assessment

• HR Director assesses risk of granting exception
• Evaluates adequacy of compensating controls
• Documents residual risk

Step 3: Approval

• Route to appropriate approval authority based on exception type
• HR Director approval: Minor exceptions
• HR Director + AI Governance Committee: Significant exceptions
• AI Governance Committee: Critical exceptions

Step 4: Documentation and Monitoring

• Document exception in Exception Register
• Assign exception owner
• Set review date
• Monitor compensating controls
• Report exceptions quarterly to AI Governance Committee

Step 5: Exception Review and Closure

• Review exception at specified review date
• Assess if exception still needed
• Close exception when normal training completed
• Document lessons learned

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ENFORCEMENT

8.1 Non-Compliance Consequences

Violation	Severity	Consequence	Remediation Required
Staff working with AI without training	Critical	Immediate suspension from AI work until trained	Complete training within 5 business days
Training not completed on time	High	Escalation to manager	Complete training within 10 business days
Competency assessment not passed	High	Retraining required	Retrain and reassess within 10 business days
Refresher training not completed	Medium	Written warning	Complete refresher within 15 business days

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8.2 Escalation Procedures

Level 1: HR Director

• Minor procedural violations
• Training delays < 5 days
• Action: Written warning, corrective action required

Level 2: HR Director + AI Governance Committee

• Repeated violations
• Staff working without training
• Action: Formal review, corrective action plan, management notification

Level 3: AI Governance Committee

• Critical compliance failures
• Multiple staff without training
• Action: Immediate suspension, investigation, disciplinary action

Level 4: Executive Management + Legal

• Potential regulatory enforcement action
• Significant legal liability
• Reputational risk
• Action: Executive crisis management, legal strategy, regulatory engagement

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8.3 Immediate Escalation Triggers

Escalate immediately to AI Governance Committee + Legal if:

• ⚠️ Staff working with high-risk AI without required training
• ⚠️ Regulatory inquiry or inspection related to training
• ⚠️ Critical training failure affecting compliance

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8.4 Disciplinary Actions

Individuals responsible for training violations may be subject to:

• Verbal or written warning
• Mandatory retraining
• Performance improvement plan
• Reassignment of responsibilities
• Suspension (with pay during investigation)
• Termination (for egregious violations, e.g., knowingly allowing untrained staff to work with AI)

Factors Considered:

• Intent (knowing violation vs. honest mistake)
• Severity of violation
• Impact (actual or potential)
• Cooperation with remediation
• Prior violation history

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KEY PERFORMANCE INDICATORS (KPIs)

9.1 AI Literacy and Training KPIs

KPI ID	KPI Name	Definition	Target	Measurement Method	Frequency	Owner	Reporting To
KPI-LIT-001	Training Completion Rate	% of staff completing required training	100%	(# completed / # required) × 100	Quarterly	HR Director	AI Governance Committee
KPI-LIT-002	Assessment Pass Rate	% passing assessments on first attempt	≥90%	(# passed / # total) × 100	Per training	HR Director	Management
KPI-LIT-003	Training Effectiveness	Training effectiveness score	≥4.0/5.0	Average effectiveness score	Per training	HR Director	Management
KPI-LIT-004	Competency Level	Average competency level	≥Intermediate	Average competency level	Annually	HR Director	AI Governance Committee
KPI-LIT-005	Refresher Training Completion	% completing annual refresher	100%	(# completed / # required) × 100	Annually	HR Director	Management
KPI-LIT-006	Training Timeliness	% completing training on time	≥95%	(# on time / # total) × 100	Quarterly	HR Director	Management
KPI-LIT-007	Competency Assessment Coverage	% of staff with competency assessment	100%	(# assessed / # total staff) × 100	Annually	HR Director	Management

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9.2 KPI Dashboards and Reporting

Real-Time Dashboard (HR Director access)

• Current training completion status
• Assessment pass rates
• Training effectiveness scores
• Competency levels
• Training gaps

Monthly Management Report

• KPI-LIT-001, 002, 003, 006
• Trend analysis (vs. previous month)
• Issues and risks
• Planned actions

Quarterly AI Governance Committee Report

• All KPIs
• Training effectiveness assessment
• Competency assessment review
• Internal audit findings (if conducted)
• Exception register review

Annual Executive Report

• Full-year KPI performance
• Training maturity assessment
• Strategic recommendations
• Regulatory outlook

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9.3 KPI Thresholds and Alerts

KPI	Green (Good)	Yellow (Warning)	Red (Critical)	Alert Action
Training Completion Rate	100%	95-99%	< 95%	Red: Immediate escalation to AI Governance Committee Chair
Assessment Pass Rate	≥90%	85-89%	< 85%	Red: Escalate to AI Governance Committee
Training Effectiveness	≥4.0/5.0	3.5-3.9	< 3.5	Yellow: Improvement plan; Red: Escalate to AI Governance Committee
Competency Level	≥Intermediate	Basic-Intermediate	< Basic	Red: Escalate to AI Governance Committee

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TRAINING REQUIREMENTS

10.1 Training Program Overview

All personnel involved in AI literacy and training must complete role-specific training to ensure competency in training development, delivery, and assessment.

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10.2 Role-Based Training Requirements

Role	Training Course	Duration	Content	Frequency	Assessment Required
HR Director	Training Management Expert Training	16 hours	Training management; Competency assessment; EU AI Act Article 4	Initial + annually	Yes - Written exam (≥90%)
Training Staff	Training Development Training	12 hours	Training development; Instructional design; Training delivery	Initial + annually	Yes - Practical exercise
Managers	Training Management Overview	4 hours	Training requirements; Responsibilities; Staff development	At onboarding + annually	Yes - Knowledge check (≥80%)
All Staff	AI Awareness (Level 1)	2 hours	AI basics; EU AI Act overview	At onboarding + annually	Yes - Knowledge check (≥80%)

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10.3 Training Content by Topic

Training Management

• Training program development
• Training delivery methods
• Training effectiveness measurement
• Competency assessment

EU AI Act Article 4

• Deployer obligations
• Training requirements
• Compliance obligations

Competency Assessment

• Assessment methods
• Competency levels
• Development planning

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10.4 Training Delivery Methods

Initial Training:

• Instructor-led classroom or virtual training
• Includes interactive exercises and case studies
• Hands-on practice with training tools
• Group discussions of complex scenarios

Annual Refresher:

• E-learning modules for core content review
• Live update sessions for regulatory changes
• Case study reviews of recent training activities
• Knowledge assessment

On-the-Job Training:

• Mentoring for new training staff
• Job shadowing during training delivery
• Supervised training development for first 3 programs

Just-in-Time Training:

• Quick reference guides and job aids
• Video tutorials on specific topics
• Help desk support from experienced staff

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10.5 Training Effectiveness Measurement

Assessment Methods:

• Written exams for knowledge retention
• Practical exercises for skill application
• On-the-job observations for competency validation
• Feedback surveys for training quality

Competency Validation:

• Training Staff: Must demonstrate ability to develop and deliver 1 sample training program with 100% effectiveness before independent work
• All staff: Must pass knowledge assessments with minimum required scores

Training Metrics:

Metric	Target	Frequency
Training completion rate	100%	Quarterly
Assessment pass rate (first attempt)	≥ 90%	Per training
Training effectiveness score (survey)	≥ 4.0/5.0	Per training
Time to competency (Training Staff)	< 45 days	Per person

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10.6 Training Records

Records Maintained:

• Training attendance records
• Assessment scores
• Competency validations
• Refresher training completion
• Individual training transcripts

Retention: 10 years (to align with EU AI Act documentation retention)

Access: HR, Managers, Internal Audit, Competent Authorities (upon request)

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DEFINITIONS

Term	Definition	Source
AI Literacy	Knowledge and understanding of AI systems and their implications	EU AI Act Article 4
Training	Structured learning activities to develop AI knowledge and skills	This Standard
Competency	Demonstrated ability to apply AI knowledge and skills	This Standard
Competency Level	Level of AI competency (Basic, Intermediate, Advanced, Expert)	This Standard
Refresher Training	Training to maintain and update AI knowledge	This Standard

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LINK WITH AI ACT AND ISO42001

12.1 EU AI Act Regulatory Mapping

This standard implements the following EU AI Act requirements:

EU AI Act Provision	Article	Requirement Summary	Implemented By (Controls)
AI Literacy	Article 4	Deployer obligations for AI literacy	All controls (LIT-001 through LIT-005)
Staff Training	Recital 106	Training requirements for staff	All controls

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12.2 ISO/IEC 42001:2023 Alignment

This standard aligns with ISO/IEC 42001:2023 as follows:

ISO 42001 Clause	Requirement	Implementation in This Standard
Clause 7.2: Competence	Ensure personnel have appropriate competence	LIT-001, LIT-002, LIT-004
Clause 7.3: Awareness	Ensure personnel are aware	LIT-001, LIT-002

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12.3 Relationship to Other Standards

This AI literacy and training standard integrates with other AI Act standards:

Related Standard	Integration Point	Rationale
STD-AI-001: Classification	Training on classification requirements	Staff need to understand classification
STD-AI-002: Risk Management	Training on risk management	Staff need risk management skills
STD-AI-007: Human Oversight	Training on human oversight	Oversight personnel need specific training
STD-AI-013: Incident Management	Training on incident reporting	Staff need to know how to report incidents

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12.4 References and Related Documents

EU AI Act (Regulation (EU) 2024/1689):

• Article 4: AI Literacy
• Recital 106: Staff Training

ISO/IEC Standards:

• ISO/IEC 42001:2023: Information technology — Artificial intelligence — Management system

Internal Documents:

• POL-AI-001: Artificial Intelligence Policy (parent policy)
• STD-AI-001: AI System Classification Standard
• STD-AI-002: AI Risk Management Standard
• STD-AI-007: AI Human Oversight Standard
• STD-AI-013: AI Incident Management Standard
• PROC-AI-LIT-001, -002: AI literacy and training procedures

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APPROVAL AND AUTHORIZATION

Role	Name	Title	Signature	Date
Prepared By	HR Director	HR Director	_________________	________
Reviewed By	Sarah Johnson	AI Act Program Manager	_________________	________
Reviewed By	Jane Doe	Chief Strategy & Risk Officer	_________________	________
Approved By	Jane Doe	AI Governance Committee Chair	_________________	________

Effective Date: 2025-08-01
Next Review Date: 2026-08-01
Review Frequency: Annually or upon regulatory change

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END OF STANDARD STD-AI-014

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This standard is a living document. Feedback and improvement suggestions should be directed to the HR Director.