Culture AI Governance Maturity Self-Assessment

Assess the Maturity of Your AI Governance Culture—AIGN Culture Framework

Assess the Readiness of Your AI Governance—Culture Framework. Assess Your AI Governance Culture Maturity.
Is your organization ready to build a responsible, inclusive, and future-proof AI culture—across teams, mindsets, and daily practices?

The AIGN Culture AI Governance Self-Assessment provides a fast, confidential, and actionable benchmark—focused on the human side of AI governance. Map your organization’s culture, receive instant maturity scores and tailored recommendations, and unlock your roadmap to a trustworthy, values-driven AI environment.

No registration. No data transfer. 100% privacy by design.

The AIGN Culture AI Governance Framework is designed to help organizations of any size and sector embed responsible AI deeply into their culture—not just their processes. Built on international best practices—including the EU AI Act, ISO/IEC 42001, OECD AI Principles, and the NIST AI Risk Management Framework—this framework goes beyond compliance and technical controls to foster ethical leadership, shared values, transparency, inclusion, and continuous learning at every level.

Is your organization truly prepared to nurture a responsible, resilient, and ethical AI culture?

The AIGN Culture AI Governance Maturity Self-Assessment enables you to evaluate and benchmark your cultural strengths and development areas against the world’s leading standards for trustworthy and inclusive AI.

  • Holistic Perspective: Assess your AI governance culture maturity across all key domains—from leadership and ethics to inclusion, learning culture, openness, and continuous improvement.
  • Immediate Feedback: Receive a clear maturity score and actionable recommendations within minutes.
  • Aligned with International Standards: Built on the EU AI Act, ISO/IEC 42001, OECD AI Principles, and the NIST AI Risk Management Framework.
  • Privacy by Design: All data remains on your device—no registration, no data transfer.
  • Actionable Roadmap: Identify concrete priorities and next steps to strengthen your AI governance culture and empower your teams.

For each question, simply select the score that best reflects your organization’s current cultural practice—from 1 (“no evidence”) to 5 (“excellence by design”).
Be honest: your true cultural baseline is the foundation for real, sustainable progress.

Ready to get started?
Begin your self-assessment now and unlock your roadmap to a resilient, responsible, and trust-based AI culture.

AIGN Culture AI Governance Self-Assessment Based on the AIGN AI Governance Culture Framework
Assess your organization’s AI Governance Culture Maturity across 5 key dimensions and 24 indicators.
Benchmark your current culture with the AIGN AI Governance Culture Framework – the global, certifiable standard for operationalizing responsible, ethical, and inclusive AI.
100% privacy by design – no data leaves your device.
1. Leadership & Accountability
1. Do leaders actively communicate and model responsible AI values (e.g. ethics, transparency, inclusion)? E.g., visible ethics statements, inclusion in strategy documents, regular leadership messaging.
2. Are leaders accountable for AI-related risks, including culture and ethics breaches? E.g., leadership KPIs include ethics/culture, regular board review, documented accountability for failures.
3. Are ethics and governance culture topics part of leadership and board discussions? E.g., culture on meeting agenda, regular culture reviews, leader statements on culture topics.
4. Does the organization reward ethical leadership and cultural role models? E.g., awards, recognition, performance reviews include culture/ethics behavior.
2. Behavior & Ethical Reflexes
5. Are staff trained to recognize and escalate ethical dilemmas in AI use? E.g., regular culture/ethics workshops, onboarding covers escalation/reflex, scenario training.
6. Is there psychological safety for staff to raise AI risks or mistakes? E.g., anonymous reporting, non-retaliation policy, open feedback culture.
7. Are there real examples where staff stopped, escalated, or changed an AI project due to cultural/ethical reasons? E.g., documented risk pause, culture postmortem, public lessons learned.
8. Does your organization have culture/ethics champions or ambassadors? E.g., culture working group, nominated role models, peer support.
3. Structure & Escalation Logic
9. Are escalation paths for culture and ethics issues defined and tested? E.g., redline register, documented RACI matrix, test drills, playbooks.
10. Is there a documented redline register for unacceptable AI behaviors? E.g., clear list of non-negotiables, escalation protocol, culture registry.
11. Are fallback mechanisms and responsible roles defined for incidents? E.g., named escalation leads, playbooks, tested fallback plans for AI failures.
12. Is culture/ethics risk discussed after incidents (“culture postmortems”)? E.g., post-incident reviews, root cause analysis, lessons-learned documented.
4. Stakeholder Inclusion & Voice
13. Are affected stakeholders involved in AI governance decisions? E.g., stakeholder voice panels, participatory design, user feedback loops.
14. Are there visible feedback channels for internal/external concerns? E.g., feedback portals, issue trackers, feedback closure reporting.
15. Is there co-governance or participatory review for AI projects? E.g., joint design boards, user panels, transparent inclusion in risk review.
16. Is feedback from stakeholders used to adjust and improve governance? E.g., documented improvements, regular stakeholder surveys, action on feedback.
5. Measurement & Continuous Learning
17. Are cultural indicators/KPIs (e.g. escalation rates, survey results) tracked over time? E.g., dashboards, annual culture report, tracked maturity progression.
18. Does the organization measure psychological safety, ethical comfort, or inclusion? E.g., regular pulse surveys, inclusion scores, psychological safety assessment.
19. Are culture maturity reviews and lessons-learned sessions held regularly? E.g., periodic self-assessment, improvement workshops, external audits.
20. Is learning from culture/ethics incidents integrated into daily governance? E.g., playbooks updated after incidents, open communication of lessons learned.
6. Incentives, Rewards & Sanctions
21. Are there visible incentives for positive culture/ethics behavior? E.g., awards, bonuses, career impact for culture role models.
22. Are there clear, fair sanctions for repeated culture or ethics breaches? E.g., disciplinary policy, transparent process for non-compliance, learning-oriented sanctions.
23. Is HR involved in culture governance (onboarding, evaluation, career)? E.g., culture KPIs in performance review, onboarding covers culture tools.
24. Is there ongoing adaptation of incentives/sanctions based on lessons learned? E.g., updated policies after incidents, learning loops in HR/culture governance.
Assessment logic based on the AIGN AI Governance Culture Framework for Responsible AI Governance – www.aign.global

Take the next step with the AIGN Culture AI Governance Framework.
As an official licensee, you gain exclusive access not only to our internationally aligned culture framework—but also to a complete suite of practical tools, validated templates, and expert guidance designed to transform your organizational culture for responsible AI.

We don’t just deliver a framework. We help you build a living, trustworthy AI culture.
From first cultural assessment to full transformation, our consulting team is by your side—ensuring your organization develops a resilient, ethical, and certifiable AI governance culture.

👉 Explore the Culture AI Governance Framework

  • Exclusive access to the full AIGN Culture Tool & Template Suite
  • Step-by-step guidance from experienced AI governance and culture consultants
  • Ongoing updates and premium support tailored to your needs

Don’t navigate the complexities of AI governance culture alone.
Contact us today to schedule your personal consultation and discover how the AIGN Culture AI Governance Framework—complete with official tools and templates—can future-proof your organization’s culture for trustworthy AI.

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