Professional AI Governance Self-Test

The World’s Self-Assessment for True AI Governance Leaders



Take Your Own AI Governance to the Next Level. How responsibly do you lead, influence, and challenge the use of Artificial Intelligence?
With the AIGN Professional AI Governance Self-Test, you get the world’s first holistic self-assessment designed for professionals, leaders, and AI champions who want to make a real difference.

With the AIGN Professional AI Governance Self-Test, you set an example for responsible AI leadership. Become part of a global movement for transparent, ethical, and future-proof AI governance – individually, anonymously, and according to the highest international standards.

Patrick Upmann | Founder AIGN

Why This Test?

  • Leadership Matters:
    AI governance is not just about compliance – it starts with personal mindset, courage, and action.
  • Global Thought-Leader Standard:
    Every question is rooted in the latest AIGN standards, integrating global benchmarks like the EU AI Act, OECD, ISO/IEC 42001, NIST, UNESCO, and more.
  • Self-Reflection – Not a Checklist:
    Assess your own role, your willingness to act, and your personal impact on AI governance within your organization and the broader ecosystem.

What Does the Test Measure?

The test covers 35 questions across 12 essential domains of professional AI governance:

  1. Strategic Governance & Personal Accountability
    – Role clarity, responsibility, escalation, and courage to challenge decisions.
  2. Technical Understanding & Explainability
    – Technical insight, traceability, audit, and robustness.
  3. Data Governance & Privacy
    – Data quality, bias, privacy by design, compliance.
  4. Ethical Alignment & Red Lines
    – Ethics, “red lines”, protection of vulnerable groups.
  5. Risk, Impact & Incident Response
    – Risk management, incident culture, personal accountability.
  6. Compliance & Regulatory Readiness
    – Up-to-date knowledge and application of AI Act, GDPR, ISO/IEC 42001, and more.
  7. Sustainability & Social Responsibility
    – Environmental impact, digital inclusion, societal value.
  8. Stakeholder Engagement & Governance Culture
    – Participation, diversity, mentoring, and governance culture.
  9. Continuous Improvement & Leadership
    – Learning mindset, openness, leadership, and external influence.
  10. Innovation & Future Readiness
    – Pioneering new governance tools and approaches.
  11. Societal Impact & Transparency
    – Open communication, impact measurement, collaboration with society and government.
  12. Peer Review, Openness & Interdisciplinarity
    – External feedback, error culture, interdisciplinary collaboration.

What Makes the AIGN Test Unique?

  • Deep Reflection:
    Not just compliance – a real personal reality check.
  • Global Alignment:
    Every question is directly linked to international standards.
  • Individual Governance Profile:
    Your result is more than a score – you receive a profile (Explorer, Builder, Implementer, Catalyst, Trailblazer).
  • Growth-Oriented:
    Concrete next steps and recommendations for your personal development.
  • 100% Private:
    Your data never leaves your device. Fully anonymous and secure.

Who Is This Test For?

  • Leaders, AI managers, project leads
  • Data scientists, product managers, AI auditors
  • Compliance, ethics, and sustainability professionals
  • Innovators, multipliers, trusted AI ambassadors

What Do You Achieve With Your Results?

  • You signal your commitment to Responsible AI Leadership.
  • You identify your strengths, gaps, and opportunities for growth.
  • You set an example – for your team, organization, and industry.
  • You join the global AIGN community for AI governance excellence.

Test Your Personal AI Governance Readiness Now!

Ready for the next step?
Start the Self-Test and become the benchmark for responsible AI leadership.

AIGN
Professional AI Governance Self-Test Based on the AIGN Global Framework (Professional/Thought Leader Edition)
Assess your personal AI governance maturity across 12 global domains and 35+ critical indicators.
This is the world’s first holistic, future-ready self-assessment for real AI governance leaders.
100% privacy by design – your results are local, anonymous, and unlock your personal impact.

1. Strategic Governance & Personal Accountability

1. Do you have a clear, documented understanding of your own role in AI governance? E.g., written role profile, RACI matrix, direct accountability for AI-related outcomes. (OECD, ISO/IEC 42001)
2. Have you ever escalated or challenged an AI-related decision or risk, even if it was unpopular? E.g., reporting a concern, calling for risk review, challenging groupthink or technical overconfidence. (AI Act Art. 9, NIST RMF)
3. Do you actively map stakeholders and align AI initiatives with organizational strategy and values? E.g., stakeholder mapping, aligning with mission/values, strategic review of AI projects. (OECD, NIST, ISO/IEC 42001)

2. Technical Understanding & Explainability

4. Can you explain the logic behind AI system outputs or decisions in your area of responsibility? E.g., reviewing model explanations, demand for technical/ethical documentation. (OECD, EU AI Act, NIST)
5. Have you personally reviewed model documentation, audit trails, or performed a technical/ethical review? E.g., technical due diligence, reviewing audit logs, conducting or participating in explainability reviews. (NIST, ISO/IEC 42001)
6. Do you demand explainability and technical robustness before deploying or advocating for an AI tool? E.g., “no explainability – no launch” rule, robustness as a non-negotiable for adoption. (OECD, NIST, EU AI Act)

3. Data Governance & Privacy

7. Are you aware of the provenance, quality, and legal compliance of data used in your projects? E.g., checking data sources, validating licensing, GDPR/compliance checks. (OECD, GDPR, EU AI Act, ISO)
8. Have you participated in, or called for, a data bias or fairness audit? E.g., independent bias review, data set demographic checks, challenging bias blindspots. (OECD, NIST, EU AI Act)
9. Do you regularly consider data minimization and privacy-by-design in your work? E.g., collecting only what’s needed, building in privacy defaults, updating for new requirements. (GDPR, OECD, ISO)

4. Ethical Alignment & Red Lines

10. Can you state what is off-limits for AI use in your domain? E.g., “no profiling,” “no surveillance,” “no AI-only decisions” on certain matters, etc. (EU AI Act Art. 5, UNESCO)
11. Have you ever stopped or altered an AI project on ethical grounds? E.g., stopping a feature, refusing to deploy due to bias/fairness risks, raising red lines in meetings. (NIST, OECD, ISO/IEC 42001)
12. Do you ensure vulnerable groups are considered in every AI-related decision? E.g., reviewing impact on marginalized groups, including accessibility or fairness review in project design. (OECD, UNESCO, NIST)

5. Risk, Impact, & Incident Response

13. Do you have a personal protocol for identifying and reporting AI incidents or risks? E.g., personal “stop-the-line,” using templates, or escalation checklists for incident reporting. (AI Act, NIST RMF)
14. Have you led or participated in an AI incident simulation, red-teaming, or crisis drill? E.g., tabletop exercise, technical test, or simulated incident as part of AI operations/governance. (ISO, NIST, OECD)
15. Are you prepared to take responsibility if an AI system causes harm in your area? E.g., personal readiness, ethical stance, willingness to step forward if a risk materializes. (OECD, ISO/IEC 42001)

6. Compliance & Regulatory Readiness

16. Are you up to date on key regulations (EU AI Act, GDPR, etc.) affecting your work? E.g., active learning, legal updates, compliance briefings, or self-study. (AI Act, GDPR, OECD, ISO)
17. Do you document your governance decisions for auditability? E.g., keeping logs, writing rationales, or using templates for governance decisions. (ISO, NIST, AI Act)
18. Have you mapped your AI use against legal “high-risk” classifications? E.g., EU AI Act, sectoral compliance, identifying and documenting high-risk use cases. (AI Act Art. 6, NIST RMF)

7. Sustainability & Social Responsibility

19. Do you consider the environmental and social impact of AI systems you use or support? E.g., carbon footprint, energy/resource use, positive/negative impact on society. (OECD, UNESCO, ISO, AI Act)
20. Have you ever advocated for energy/resource efficiency or long-term societal benefit in AI projects? E.g., challenging unnecessary compute, calling for sustainable practices, supporting social inclusion. (OECD, UNESCO, ISO/IEC 42001)
21. Are you aware of and engaged in efforts to promote digital inclusion and reduce digital divides? E.g., promoting access, outreach, or advocating for underserved groups in AI adoption. (OECD, UNESCO)

8. Stakeholder Engagement & Governance Culture

22. Do you invite feedback from diverse and underrepresented groups in AI projects? E.g., outreach, surveys, participatory workshops, diversity focus. (OECD, AI Act, UNESCO)
23. Have you mentored others or shared best practices in AI governance? E.g., mentoring, community building, knowledge transfer, peer education. (OECD, UNESCO)
24. Do you participate in governance or ethics boards/committees? E.g., formal or informal, inside or outside your organization. (ISO, OECD)

9. Continuous Improvement & Leadership

25. Do you reflect on and improve your own AI governance practices regularly? E.g., self-assessment, learning, asking for feedback, updating practices. (OECD, NIST, ISO)
26. Have you advocated for governance maturity, certification, or trust labeling in your organization? E.g., proposing certification, advocating for trust labels, or maturity model discussions. (ISO/IEC 42001, AI Act)
27. Do you help shape the governance conversation outside your own organization? E.g., public speaking, policy input, AI governance networks, external engagement. (OECD, UNESCO, WEF)

10. Innovation & Future Readiness

28. Have you launched or tested new approaches or tools for AI governance in the past 12 months? E.g., piloting AI audit tools, LLM-based governance, adopting AI risk forecasting. (ISO/IEC 42001, NIST, Singapore Model)
29. Do you seek out and implement AI governance innovations proactively? E.g., being early adopter, championing novel tools/processes, seeking out best-in-class benchmarks. (ISO, OECD, Singapore)

11. Societal Impact & Transparency

30. Do you measure and publicly communicate the societal impact of AI projects? E.g., publishing impact reports, open stakeholder feedback, transparent governance minutes. (OECD, UNESCO, ISO)
31. Do you actively include civil society/governmental perspectives in governance? E.g., collaborating with NGOs, public sector, policy-makers, or multi-stakeholder initiatives. (UNESCO, OECD, WEF)

12. Peer Review, Openness & Interdisciplinarity

32. Have you invited external peer review or critical challenge of your AI governance? E.g., audits, external feedback rounds, challenging best practices with outside experts. (ISO/IEC 42001, NIST, UNESCO)
33. Do you work with interdisciplinary experts (e.g., ethics, social sciences, law) on AI governance? E.g., regular collaboration, joint reviews, integrating non-technical perspectives. (OECD, UNESCO, ISO/IEC 42001)
34. Do you openly share both successes and failures in AI governance? E.g., best practice sharing, reporting incidents as learning moments, publishing lessons learned. (OECD, UNESCO, ISO)
35. Do you mentor next-generation AI governance professionals? E.g., mentoring, training, community leadership, role modeling. (OECD, UNESCO, ISO)
Assessment logic based on the AIGN Global Framework for Responsible AI Governance – www.aign.global

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