TechTelligence · K-12 Governance

EDU Responsible AI
Verification Platform

A comprehensive multi-principle framework for assessing, verifying, and governing responsible AI use across K-12 education. Built for administrators, school leaders, educators, and regulators.

9 Active Principles
419+ Governance Questions
8 International Frameworks
K–12 Education Focused
5 Views Per Principle
EU AI Act 2024 GDPR / UK GDPR NIST AI RMF 1.0 COPPA · FERPA ISO/IEC 42001 UNESCO AI Ethics OECD AI Principles UAE AI Strategy · PDPL
Select Your Institution Type
K–12 Schools
K-12 Education
Responsible AI verification for primary and secondary schools, covering students, educators, and administrators from Pre-K through Grade 12.
9 Active Principles 419+ Questions Pre-K – Grade 12
Currently Viewing → ACTIVE
Higher Education
Universities & Colleges
Responsible AI verification framework for universities, colleges, and research institutions covering faculty, students, researchers, and academic integrity.
9 Active Principles 430+ Questions Undergraduate – Doctoral
Open Platform →
Governance-Grade Coverage
9 principles spanning legal, ethical & operational AI risk
419+ Curated Questions
Mapped to EU AI Act, NIST AI RMF, ISO 42001 & UNESCO standards
8 International Frameworks
EU · USA · UAE · UNESCO · OECD — cross-jurisdictional alignment
Your Progress 0 / 9 principles explored
Active Principles
ACTIVE
K-12 AI TRANSPARENCY
Ensure AI systems in K-12 education are openly disclosed, explainable, and understandable to students, parents, educators, and regulators.
Six-Pillar Framework 34 Governance Questions EU AI Act · GDPR · OECD
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 34 questions — read only
ACTIVE
K-12 AI ACCOUNTABILITY
Ensure clear responsibility, oversight, and remediation for AI systems used in K-12 education. Covers governance structures, incident response, and board-level accountability.
Seven-Pillar Framework 50 Governance Questions ISO/IEC 42001 · NIST AI RMF
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 50 questions — read only
ACTIVE
K-12 AI SECURITY & DATA PRIVACY
Protect student data, enforce encryption and access controls, and govern AI vendor privacy obligations across the full K-12 AI lifecycle.
Seven-Domain Framework 42 Governance Questions GDPR · COPPA · UAE PDPL · ISO 27001
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 42 questions — read only
ACTIVE
K-12 AI HUMAN & SOCIAL WELLBEING
Ensure AI systems in K-12 education protect and promote the mental, emotional, social, and developmental wellbeing of every student.
Seven-Pillar Framework 50 Governance Questions UNESCO · WHO · UNICEF
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 50 questions — read only
ACTIVE
K-12 AI IN TEACHING & LEARNING
Ensure AI systems genuinely amplify teacher professionalism and student agency through HITL, H-AI-H workflows, TPACK-aligned professional development, and equitable access.
Five-Domain Framework 36 Governance Questions TPACK · UNESCO · UDL
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 36 questions — read only
ACTIVE
K-12 AI FAIRNESS
Ensure AI systems treat all students equitably regardless of race, gender, disability, or socioeconomic background. Covers vendor due diligence, algorithmic bias testing, and equity of access.
Eight-Domain Framework 41 Governance Questions EU AI Act · IDEA · Section 504
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 41 questions — read only
ACTIVE
K-12 AI BIAS, PARITY & SOVEREIGNTY
Govern algorithmic bias testing, performance parity monitoring, and data sovereignty obligations across all AI systems used in K-12 education.
Five-Domain Framework 36 Governance Questions Aequitas · AI Fairness 360 · NIST
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Full visual governance report
View Checklist All 36 questions — read only
ACTIVE
K-12 AI PROCESS GOVERNANCE
Ensure every AI tool acquisition, deployment, monitoring, staff training, stakeholder communication, and incident response follows a documented, auditable, and rights-respecting governance process.
Six-Domain Framework 46 Governance Questions ISO/IEC 42001 · NIST AI RMF
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Assess submitted results
Generate Report Built-in scoring & action plan
View Checklist All 46 questions — read only
ACTIVE
INSTITUTIONAL AI EVIDENCE DOCUMENTATION
Verify that all required AI governance evidence files — charters, DPIAs, audit logs, contracts, training records, incident reports, and bias assessments — are on file, current, and retrievable within 72 hours.
Eight-Domain Framework 88 Evidence Items ISO/IEC 42001 · EU AI Act · GDPR
Admin Full checklist + interpretations
Self Assess K-12 school inputs
Review Upload JSON, view evidence gaps
Generate Report Full visual governance report
View Checklist All 88 items — read only
Coming Soon
Q3 2026
AI Environmental Impact
Carbon footprint and energy sustainability assessment for AI systems in schools.
Q3 2026
Reliability & Robustness
Technical resilience, uptime SLAs, and adversarial robustness verification.
Q4 2026
Cross-Institutional Benchmarking
Anonymised peer comparison across participating K-12 institutions.
Q4 2026
Regulatory Mapping Engine
Auto-map governance gaps to specific articles in EU AI Act, GDPR, UAE PDPL.
2027
Certification & Badging
Formal TechTelligence EDU Responsible AI Certification for compliant schools.
Referenced International Frameworks
EU Regulation
EU AI Act 2024
Risk classification, prohibited practices, human oversight obligations
Referenced in 6 principles
EU / UK Law
GDPR / UK GDPR
Data protection, lawful basis, DPIAs, rights of data subjects
Referenced in 4 principles
US Framework
NIST AI RMF 1.0
Govern, Map, Measure, Manage lifecycle risk management
Referenced in 4 principles
International Standard
ISO/IEC 42001
AI management systems, continual improvement, auditing
Referenced in 3 principles
UN Agency
UNESCO AI in Education
Human-centred AI, teacher empowerment, digital inclusion
Referenced in 3 principles
UAE National
UAE AI Strategy · PDPL
National AI framework and personal data protection law
Referenced in 2 principles
US Law
COPPA / FERPA
Child and student data protection obligations for AI vendors
Referenced in 2 principles
International
OECD AI Principles
Transparency, robustness, accountability, inclusiveness
Referenced in 3 principles