Artificial Intelligence (AI) Competency Self-Assessment for the Public Sector
Assess your proficiency in critical AI competencies and identify skills-development needs for the safe, responsible and effective deployment of AI in line with the AI Act.
Purpose of the Tool
This is a pilot self-assessment tool for Artificial Intelligence (AI) competencies in the Public Sector, developed exclusively within the TSI 24EL04 project. Its purpose is to support the testing and validation of the training methodology, based on the proposed AI Competency Framework, serving as a Proof of Concept (PoC). For the purposes of the pilot, the tool includes content for two competency areas for each of the five indicative roles involved in deploying AI in public administration.
How it works
Four steps from choosing your role to personalised feedback.
Choose your role
Pick your current or desired AI role.
- AI Business Operations Manager
- AI Data Officer
- AI Data Steward
- Compliance Officer
- AI Procurement & Project Monitoring Officer
Answer the questionnaire
Respond to questions matched to real working activities and proficiency levels.
Proficiency estimation
The tool calculates:
- Proficiency level per subdomain
- Overall level per competency area
- Gap vs. the desired role profile
Personalised feedback
You receive:
- Detailed results per subdomain (indicative)
- Development priorities
- Recommended training actions
Revised AI Competency Framework
The framework is structured around 8 competency areas covering the requirements of the EU AI Act. Select an area to view its subdomains.
Cooperation with Citizens & Partner Organisations
Designing, delivering and managing AI services in a way that ensures transparency, accountability and trust, and building partnerships for compliant AI solutions.
- 1.1 Citizen service via transparent and explainable AI
- 1.2 Appropriate citizen advisory and support on AI rights (transparency, right to appeal)
- 1.3 Building partnerships with external organisations for AI Act–compliant projects
- 1.4 Cooperation with AI certification and audit bodies for regulatory compliance
Teamwork & Communication
Effective collaboration and communication across interdisciplinary teams to design AI solutions that integrate technological, legal and ethical requirements.
- 2.1 Collaboration on AI solutions with shared regulatory understanding
- 2.2 Promotion of AI strategies aligned with the AI Act
- 2.3 Coordination of technical, legal and ethics teams for correct law application
Adaptability
Continuous upskilling of knowledge, skills and practices to keep pace with rapid technological developments and changing AI regulation.
- 3.1 Training and adaptation to new AI technologies and the AI regulatory framework (AI Act, GDPR, Digital Services Act)
- 3.2 Adaptation to new AI risk-management and compliance tools
- 3.3 Monitoring developments in European directives and best practices for AI governance
Problem-solving & Creativity
Identifying, analysing and solving complex problems through AI, combining innovation with systematic risk management and AI Act compliance.
- 4.1 AI risk identification and assessment per AI Act classification (prohibited, high, limited, minimal risk)
- 4.2 Development and application of risk-mitigation mechanisms (bias mitigation, explainability, accountability)
- 4.3 Embedding compliance into innovation (compliance by design)
Digital Leadership & Change Management
Guiding organisations through the strategic and operational integration of AI, ensuring adoption is responsible and compliant.
- 5.1 Building a culture of acceptance and responsible AI use
- 5.2 Decision-making grounded in transparency, safety and rights protection
- 5.3 Team guidance for embedding the AI Act in processes
- 5.4 Internal AI governance frameworks and compliance policies
- 5.5 Strategic planning for AI audits and assessments
Innovation Development
Designing, delivering and managing AI projects that combine technological innovation with regulatory compliance and risk management in the public sector.
- 6.1 Process transformation with AI Act–compliant AI
- 6.2 AI project management with accountability, transparency and risk-assessment clauses
- 6.3 Participation in regulatory sandboxes for supervised innovation
- 6.4 Documentation, monitoring and control across the AI project lifecycle
Emerging Technologies
Understanding, evaluating and applying advanced AI technologies with a focus on safety, transparency, reliability and regulatory compliance.
- 7.1 Big-data management respecting security and personal-data protection requirements
- 7.2 Development of intelligent techniques with built-in explainability (Explainable AI)
- 7.3 Risk assessment and classification practices per the AI Act
- 7.4 Cybersecurity hardening in AI environments
Ethics & Deontology
Ensuring the design, development and use of AI is governed by human-centric principles and protects citizens' fundamental rights.
- 8.1 Interpretation and application of AI Act principles (safety, transparency, accountability, explainability)
- 8.2 Policies and guidelines for responsible AI use
- 8.3 AI ethics oversight and evaluation mechanisms
- 8.4 Human-centric AI and fundamental-rights protection
Aligned with the EU AI Act
The proposed AI Competency Framework is aligned with the requirements of the EU AI Act and supports the development of competencies related to:
Risk management
Identifying, assessing and mitigating risk based on the AI Act risk classification.
Transparency & accountability
Explainability of AI decisions and documented use of AI systems.
Human oversight
Maintaining meaningful human control over critical AI-driven decisions.
Data governance
Data quality, security and personal-data protection across training and use of AI models.
Technical documentation
Auditability and documentation of high-risk AI systems.
Compliance & supervision
Alignment with regulatory requirements and readiness for internal and external audits.
Self-assessment is developmental and supportive in nature.
Its goal is to strengthen professional development and organisational readiness for the responsible use of Artificial Intelligence in the public sector.