Your Certified Proof of Responsible AI Governance Accountability & Competence
Artificial Intelligence is no longer a technological experiment. It is becoming regulated infrastructure. Competence is validated not as knowledge, but as the ability to carry accountable governance responsibility. As AI systems enter binding regulatory frameworks worldwide (EU AI Act, ISO/IEC 42001, sectoral supervision), a new question defines careers, audits, and reputation:
Who can be trusted to govern AI responsibly — and who can prove it?
The AIGN Professional Trust Label exists to answer this question —
as part of a globally referenced AI governance framework built to make competence auditable, comparable, and verifiable.
It is not a course certificate.
It is a validated and verifiable professional trust credential, awarded through Independent assessment refers to validation against a defined rubric, independent of training participation or self-declaration, and conducted under the AIGN Academy Review Board protocol.

Why Validation Beats Training
Most certifications prove that someone has completed a course.
They rarely prove that someone can carry responsibility.
The AIGN Professional Trust Label follows a different logic:
- competence is demonstrated, not taught
- governance is documented, not described
- trust is validated, not assumed
By certifying people based on existing knowledge, documented artefacts, and independent review, the Trust Label creates something training alone cannot deliver:
accountable, auditable, and transferable professional trust.
This approach benefits not only individuals —
it strengthens governance maturity across organizations and institutions.
Why This Matters — Now and in the Future
AI Governance is becoming auditable
Organizations are no longer asked whether they think responsibly —
they are asked who is accountable.
Regulators, boards, investors, and public institutions increasingly require:
- named governance responsibility
- documented competence
- traceable validation
Reputation becomes a governance asset
In regulated AI environments, reputation is no longer personal branding —
it is risk mitigation.
A recognized, third-party validated credential:
- reduces governance risk
- increases professional credibility
- signals accountability under scrutiny
AI careers will be filtered by trust
The future AI job market will not reward “skills alone”.
It will reward people who can be trusted with regulated systems.
What the Professional Trust Label Is
The AIGN Professional Trust Label is a DOI-registered, evidence-based certification for individual competence in Responsible AI Governance.
It validates demonstrated competence to:
- interpret regulatory requirements
- translate them into governance practice
- document and evidence governance decisions
- withstand professional and regulatory scrutiny
This credential is embedded in the AIGN Trust Infrastructure, ensuring global comparability, verifiability, and long-term relevance.

The Professional Trust Label represents Layer ① – Licensing & Trust within the AIGN Academy architecture.”
The Pillars That Make This Credential Valuable
Scientific Foundation
This is not an opinion-based badge.
Your certification is anchored in:
- a DOI-registered scientific framework
- defined evaluation criteria
- documented methodology
Regulatory Alignment
The Trust Label is mapped to:
- EU AI Act governance & accountability logic
- ISO/IEC 42001 competence requirements
Evidence-Based Validation
You do not self-declare competence.
You demonstrate it through:
- a structured knowledge check or
- a validated professional artefact (policy, project, research, use case)
Trust Infrastructure
Your credential is:
- DOI-linked
- machine-verifiable
- registry-listed
- uniquely identifiable via ASGR-P code
Professional Impact
This credential is designed to be used:
- in audits and compliance reviews
- in CVs and leadership profiles
- in funding, research, and institutional contexts
Start now
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How the Certification Works (Clear & Predictable)
Step 1 – Orientation & Reference Access
You receive structured orientation and reference access to the governance frameworks used for validation.
This includes:
- Responsible AI Governance reference framework
- EU AI Act governance and accountability context
- ISO/IEC 42001 competence and governance alignment
This step does not constitute training or instruction.
It ensures transparency and a common reference baseline for validation.
Outcome: clear evaluation framework — no ambiguity.
Step 2 – Competence Validation
You choose one validation path:
- Knowledge Check (MCQ)
- Portfolio / Artefact Review (policy, project, research, or use case)
Your submission is assessed against a defined scientific evaluation rubric under the AIGN Academy Review Board protocol.
Outcome: documented validation report.
Step 3 – Certification & Trust Issuance
After successful validation you receive:
- your AIGN Professional Trust Label
- a DOI-linked digital certificate
- a unique ASGR-P validation code
- entry into the Global Trust Registry
Outcome: public, verifiable professional trust.
Step 4 – Validity & Renewal
Your credential is valid for 12 months.
Optional annual renewal ensures:
- continued regulatory relevance
- maintained credibility
- updated validation where required
What You Receive
| Step | Service | Output |
|---|---|---|
| Eligibility Review | Background & plausibility check | Eligibility confirmation |
| Orientation | Access to core governance references | Reference Pack & Guide |
| Validation | MCQ or artefact review | Validation Report |
| Certification | DOI-linked Trust Label | Certificate & Badge |
| Trust Registration | Global Registry entry | ASGR-P Code |
| Validity | 12-month trust period | Public verification |
| Renewal (optional) | Revalidation | Continued trust |
Pricing
- Professional License: €490
- Student & Researcher License: €190 (proof of enrolment required)
Optional annual renewal available at a discounted rate.
This is not a training fee.
It is a licensing and validation fee for verifiable professional trust.Certification may be denied if demonstrated competence does not meet the validation criteria.
Who It’s For
This credential is relevant wherever AI decisions carry responsibility.
- AI engineers · Data scientists · Legal & compliance leaders
- Researchers · Ethics officers · Regulators · Policymakers
- Educators · Consultants · Corporate governance teams
Where AI decisions carry responsibility, this credential is relevant.
Legal & Scientific Protectio
All structures, terminology, and system architectures are protected intellectual creations. Unauthorized use or reproduction is strictly prohibited.
© Patrick Upmann – All rights reserved.
Your Journey
- Apply Online
Send your application to message@now.digital with your name, role, and professional or academic background. - Submit Your Evidence
Provide your short reflection and one supporting document (policy, project, research paper, or use case) demonstrating your understanding of Responsible AI Governance. - Scientific Validation
Your submission is reviewed under the AIGN Academy Review Board protocol.
Validation follows the official rubric defined in the AIGN Academy DOI framework (DOI 10.5281/zenodo.17462560). - Get Certified
Upon successful validation, you receive your AIGN Professional Trust Label — a DOI-linked credential with a unique ASGR-P validation code, verifiable through the Global Trust Registry. - Join the Network
Gain access to member updates, insights, and renewal opportunities within the AIGN AI Governance Academy community.
