Critical AI Collaboration Certification
Not an IT certification: the first European psychometric instrument that certifies the human competencies that make working with AI productive, responsible and sustainable. Aligned with the EU AI Act Article 4 AI Literacy obligation.
How you think with AI — not how much you know about AI engineering.
EASEC-AIC measures the human competencies that determine whether working with AI is productive, responsible and sustainable — critical evaluation, ethical judgment, human oversight, and workflow design.
You do not need to understand how a neural network works to be an excellent AI collaborator — any more than a surgeon needs to understand metallurgy to use a scalpel well. The instrument assesses how you think with AI, not what you know about AI engineering.
EASEC-AIC · assessment rationaleThe regulatory context makes this urgent.
Article 4 of the EU AI Act creates a legal obligation for organisations deploying AI to ensure staff have sufficient AI literacy. EASEC-AIC converts that compliance requirement into psychometric evidence — not course attendance logs. Organisations are already building this into professional development frameworks; early adopters set the benchmark others will follow.
Everyone uses AI. How critical is your practice, really?
See how the assessment worksThe human competencies of AI collaboration.
Grounded in the EU AI Act Art. 4, UNESCO AI Competency Framework for Teachers 2024, OECD AI Principles (rev. 2024), and ISO/IEC 42001:2023.
Critical Understanding of AI Systems
What you understand about how these systems behave and their limits — not their architecture, but their failure modes. This dimension evaluates whether you can form an accurate mental model of what an AI system will and will not do reliably: where it confabulates, where it is overconfident, and what types of task it performs well versus poorly. This calibrated understanding is the foundation of every other competency.
Prompt Design & AI Direction
How you direct the tool towards the result you need — not by memorising prompt formulas, but by understanding what drives output quality. This dimension assesses your ability to decompose a complex task, specify constraints and context, anticipate how the system will interpret your instructions, and iterate purposefully when the first output misses the mark.
Critical Evaluation of AI Outputs
How you detect plausible errors before they cause harm — including errors that sound authoritative and correct. This is the central competency of the instrument: the ability to read an AI output with calibrated scepticism, anticipate the category of error likely to be present given the task type, and verify selectively rather than exhaustively. Expert practitioners know what to check; novices either trust everything or check everything.
Ethical Judgment & Responsible Use
When to use AI, when not to, and under what conditions. This dimension evaluates your capacity to reason about the ethical dimensions of AI use in your specific professional context — not generic AI ethics theory, but applied judgment: recognising when AI use introduces bias, privacy risk, or accountability gaps that require deliberate mitigation before deployment.
Human Oversight & Accountability
How you design accountability into human-AI workflows — so that when something goes wrong, it is clear who is responsible and why. This dimension assesses your capacity to structure AI-augmented processes with meaningful human checkpoints, audit trails, and decision records that make the workflow legible to others and defensible to institutional or regulatory scrutiny.
AI-Augmented Creativity
How you expand your creative work without delegating it entirely. This dimension evaluates your capacity to use AI as a generative partner — for ideation, drafting, and iteration — while retaining authorial judgment over what is kept, discarded, and developed. The risk it addresses is not over-reliance on AI, but the loss of the human creative contribution that gives the work its distinctive value.
Continuous Adaptation & Governance
How you evolve with a landscape that changes every few months — without either ignoring new developments or being destabilised by them. This dimension evaluates your capacity to maintain a stable professional practice while updating your AI collaboration approach as tools, regulations, and norms shift. It also covers your understanding of the governance obligations that apply to your institutional context under the EU AI Act and related frameworks.
Real AI work scenarios — not textbook questions.
Respond
40 situational judgement items based on real AI work scenarios. Completed online in 45–90 minutes, at your own pace.
Receive your profile
Automated scoring against EQF references via IRT. A report across all 7 dimensions at 5 proficiency levels — from Foundation to Expert.
Certify
Open Badge 3.0 + Europass Digital Credential. Valid for 3 years — and aligned with the EU AI Act Art. 4 AI literacy requirements.
That's it. No course, no prerequisites —
just how you actually work with AI today.
Start my assessment40 items
Assessment length
Online, self-paced
Complete anytime
Evidence, not attendance
Verifiable credential
Anchored to the EU AI Act and international AI ethics frameworks.
AI tools change every few months. The human competencies this instrument evaluates — critical evaluation, ethical judgment, accountability design, and adaptability — are stable. They are the same competencies the EU AI Act's AI Literacy framework values: the regulatory standard now in force across Europe.
EU AI Act (2024) — Article 4 AI Literacy Obligation
European Union — Regulation 2024/1689 · in force across EU member states
Legal obligation · all 7 dimensionsUNESCO AI Competency Framework for Teachers 2024
United Nations Educational, Scientific and Cultural Organisation
OECD AI Principles 2019 (revised 2024)
Organisation for Economic Co-operation and Development
UNESCO Recommendation on the Ethics of AI
United Nations Educational, Scientific and Cultural Organisation — 2021
Ethical judgment · D4ISO/IEC 42001:2023 — AI Management Systems
International Organisation for Standardisation · IEC
Accountability & governance · D5 D7European Qualifications Framework — EQF 4–7
European Commission — Lifelong Learning Policy
A critical, accountable, ethically grounded AI collaborator — not just a tool user.
Psychometric evidence of AI literacy that satisfies the Article 4 obligation — not attendance at a course, but a scored competency profile at a defined EQF level.
A portable credential usable in university, research institution, and corporate professional development portfolios — legible across European HR systems via Europass.
Positions you as a critical, accountable AI collaborator in your institution or sector — ahead of peers waiting for the mandate to make certification obligatory.
Open Badge 3.0 · Europass Digital Credential · LinkedIn · 3-year validity
Need to evidence AI literacy across your institution?
Certify the AI competency of your staff under one group licence, with psychometric evidence built for EU AI Act Article 4 compliance — not attendance logs.
Questions knowledge professionals ask most.
EASEC-AIC measures human competencies — judgment, critical thinking, ethical reasoning, and workflow design. You do not need to understand how a neural network works to be an excellent AI collaborator, any more than a surgeon needs to understand metallurgy to use a scalpel well. The instrument assesses how you think with AI, not what you know about AI engineering.
The specific tools change rapidly; the human competencies that make AI use excellent do not. Critical evaluation of outputs, ethical judgment, accountability design, and adaptability are stable professional competencies — the same ones valued by the EU AI Act's AI Literacy framework, the regulatory standard now in force across Europe.
The EU AI Act's Article 4 creates a legal obligation for organisations deploying AI to ensure staff have sufficient AI literacy. Organisations are now building this into professional development frameworks. EASEC-AIC makes compliance evidence-based rather than attendance-based — positioning you ahead of peers who are waiting for the mandate.
No. There is no pass or fail threshold. You receive a full competency profile at five proficiency levels aligned to the EQF, with dimension-by-dimension feedback. The assessment reveals your current practice accurately — it does not filter you out. Retake is available after a minimum interval to allow genuine professional development.
An Open Badge 3.0 and a Europass Digital Credential — the recognised EU standards for professional qualifications. Both are shareable on LinkedIn, verifiable by institutional compliance officers or HR departments, and valid for three years. Verification is available at cert.easec.eu/certificates/verify.
EASEC-AIC is designed to satisfy the Article 4 AI literacy evidence requirement. The instrument is calibrated to the AI literacy competency dimensions defined in the EU AI Act framework. As an EQF-aligned psychometric assessment with a Europass Digital Credential, it produces the structured evidence organisations need for compliance documentation — not an attendance certificate.
No prior course or training is required. EASEC-AIC assesses your current AI collaboration practice as it stands today. It is open to any knowledge professional integrating AI into their work — academics, researchers, educators, or practitioners — regardless of technical background or prior formal training in AI.
Responses are scored automatically using Item Response Theory (IRT) calibrated against EQF reference levels. Your report covers all 7 dimensions at 5 proficiency levels. Dimension 3 (Critical Evaluation of AI Outputs) carries specific weight — it is the central competency that distinguishes expert AI collaborators from competent tool users.
Become the AI collaborator your institution is going to need.
The EU AI Act is already in force. Demonstrate with evidence — not attendance — that you work with AI critically and responsibly.
Start my assessmentBuilding EU AI Act Article 4 compliance for your organisation?
Certify your team's AI literacy with psychometric evidence — not attendance logs.
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