Education AI Governance Maturity Self-Assessment

Assess the Readiness of Your AI Governance—Education Framework

Assess Your Education AI Governance Maturity. Is your school, university, or education provider truly ready for responsible, sustainable, and certifiable AI adoption—across classrooms, leadership, and learning environments?

The AIGN Education AI Governance Self-Assessment offers a fast, confidential, and actionable benchmark—aligned with the world’s leading educational and regulatory standards. Map your current state, receive instant maturity scores and tailored recommendations, and unlock your roadmap to trustworthy, future-proof AI in education.

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

About the AIGN Education AI Governance Framework

The AIGN Education AI Governance Framework is designed to help educational organizations of any size and context implement responsible, effective, and sustainable AI governance. Built on international best practices—including the EU AI Act, ISO/IEC 42001, OECD AI Principles, and the NIST AI Risk Management Framework—it provides a comprehensive structure for managing AI risks, driving ethical innovation, and ensuring regulatory alignment within the education sector.

Is Your Institution Ready for Responsible AI in Education?

The AIGN Education AI Governance Maturity Self-Assessment enables you to evaluate and benchmark your current capabilities against the world’s leading standards for trustworthy, ethical AI use in education.

Why Use the AIGN Education Self-Assessment?

• Education-Focused Coverage: Assess your AI governance maturity across all key domains—from leadership and strategy to pedagogy, ethics, risk management, inclusion, and compliance.
• Immediate Feedback: Receive a clear maturity score and tailored 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, tailored for education.
• 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 institution’s AI governance, risk management, and educational impact.

How It Works

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

Ready to get started?
Begin your Education AI Governance Self-Assessment now and unlock your institution’s roadmap to responsible, impactful AI in education.

AIGN AI Governance Education Maturity Self-Assessment

AIGN Education AI Governance Self-Assessment Based on the AIGN Education Framework

Assess your institution’s AI governance maturity in education across 8 key domains and 24 indicators.
Benchmark yourself with the AIGN Education Framework – the global certifiable standard for trustworthy, safe, and inclusive AI in schools and universities.
100% privacy by design – no data leaves your device.

1. Governance & Accountability

1. Are clear roles (leadership, IT, teaching, data, ethics) for AI use in your institution documented? E.g., RACI matrix, nominated AI governance leads, clear responsibilities for AI oversight.

1 2 3 4 5

2. Are escalation and reporting paths for technical, ethical, or legal AI incidents defined and regularly tested? E.g., stop-the-line, redline register, crisis drills for AI grading/data incidents.

1 2 3 4 5

3. Is there a cross-functional AI committee or board (e.g., with teachers, IT, students, parents) overseeing AI governance? E.g., regular meetings, review of AI policies and new tools, inclusive oversight structure.

1 2 3 4 5

2. Technical Governance

4. Are all AI tools inventoried and regularly audited for technical reliability, security, and explainability? E.g., list of all EdTech/AI applications, audit logs, technical due diligence.

1 2 3 4 5

5. Do all AI systems used in teaching or administration provide explainability dashboards for teachers and students? E.g., understandable logic for grading, recommendations, or personalized learning paths.

1 2 3 4 5

6. Are there technical controls in place to enforce “red lines” (e.g., ban on surveillance, profiling, emotion detection) in all AI? E.g., contract clauses, technical restrictions, automated alerts for forbidden AI use.

1 2 3 4 5

3. Data Governance & Privacy

7. Is the consent lifecycle (collection, management, withdrawal) for all student/parent data systematically managed? E.g., GDPR/COPPA compliant, clear dashboards, opt-out process, periodic consent review.

1 2 3 4 5

8. Are bias and fairness audits of AI data sets and outcomes performed (e.g., language, gender, disability, region)? E.g., bias detection tools, demographic analysis, independent audits of grading, placement, feedback.

1 2 3 4 5

9. Are there formal data stewardship roles and documented data governance policies in place? E.g., appointed data steward, regular training, clear policies for data sharing and third-party EdTech use.

1 2 3 4 5

4. Ethical Alignment & Red Lines

10. Are redline policies (e.g., “no profiling of minors”, “no surveillance in classrooms”) clearly defined and enforced? E.g., public policy, contract clauses, technical/organizational enforcement in all AI deployments.

1 2 3 4 5

11. Are students’ rights to appeal, human review, and contest AI decisions documented and accessible? E.g., clear appeals process for grading, feedback, admissions, behavioral scoring, etc.

1 2 3 4 5

12. Are ethical audits and student voice reviews part of routine AI governance? E.g., regular surveys, ethics reviews, inclusion of students in AI evaluation.

1 2 3 4 5

5. Stakeholder & Student Voice

13. Are students, parents/guardians, and teachers actively involved in AI policy decisions? E.g., feedback rounds, co-design, transparent communication on new AI deployments.

1 2 3 4 5

14. Are concerns and complaints from students/parents visibly tracked and responded to (with change logs)? E.g., open issue tracker, transparent reporting, documented action on feedback.

1 2 3 4 5

15. Are inclusive participation methods (for marginalized, disabled, or minority groups) used in AI governance? E.g., translated materials, accessible feedback tools, outreach for diverse groups.

1 2 3 4 5

6. Sustainability & Digital Inclusion

16. Are AI tools selected or designed to ensure equal access for all student groups (e.g., hardware, internet, disabilities)? E.g., inclusion programs, offline/low-resource support, universal design.

1 2 3 4 5

17. Are sustainability criteria (ecological, technical, social) considered in the selection and deployment of AI systems? E.g., energy-efficient cloud, long-term technical support, open content, low-bandwidth compatibility.

1 2 3 4 5

18. Are there programs or policies to close digital divides and support low-resource learners (devices, connectivity, literacy)? E.g., device access programs, training for teachers/parents, community outreach.

1 2 3 4 5

7. Compliance, Incident & Procurement Governance

19. Are legal compliance requirements (EU AI Act, GDPR, COPPA, country law) documented and mapped for all AI uses? E.g., compliance toolkit, contract clauses, regular legal reviews.

1 2 3 4 5

20. Are AI procurement, vendor assessment and contract processes aligned with governance and ethical standards? E.g., vendor risk checklist, DPA (Data Processing Agreements), red line clauses in contracts.

1 2 3 4 5

21. Are there incident response plans, reporting protocols, and learning loops for AI-related failures? E.g., logs, escalation roles, communication templates, post-incident review, vendor notification.

1 2 3 4 5

8. Parental & Guardian Engagement

22. Are parents and guardians actively informed about and able to consent to AI use involving their children? E.g., consent forms, info packs, opt-out options, regular updates before new AI deployment.

1 2 3 4 5

23. Do parents/guardians have feedback channels and escalation rights in AI incidents affecting their children? E.g., feedback portal, complaint forms, parent seats in governance board, escalation policy for complaints.

1 2 3 4 5

24. Are parents or guardians included in the design, review or policy update processes for AI in the institution? E.g., involvement in committees, survey participation, review of new AI tools, co-signing of red lines.

1 2 3 4 5

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Assessment logic based on the AIGN Education Framework for Responsible AI in Education – www.aign.global

Ready to Raise Your Education AI Governance to the Next Level?

Take the next step with the AIGN Education AI Governance Framework.
As an official licensee, your school, university, or education provider gains exclusive access not only to our internationally aligned framework—but also to a complete suite of practical tools, validated templates, and expert guidance tailored for the unique challenges of the education sector.

We don’t just deliver a framework. We empower your institution to succeed.
From first self-assessment to full implementation, our education-focused consulting team is by your side—ensuring your organization achieves true, certifiable AI governance maturity in learning and teaching.

👉 Explore the AIGN Education AI Governance Framework →

Unlock your advantage:

• Exclusive access to the full AIGN Education Tool & Template Suite
• Step-by-step guidance from experienced AI governance consultants in education
• Ongoing updates and premium support for education institutions

Don’t navigate the complexities of AI in education alone.
Contact us today to schedule your personal consultation and discover how the AIGN Education AI Governance Framework—complete with official education tools and templates—can future-proof your school, university, or learning environment.

Let’s make trustworthy, responsible AI your institution’s competitive edge—contact us now.