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K-12 AI Governance Readiness Audit

RAISE-Labs Interactive Assessment

This simplified assessment helps K-12 educators and administrators evaluate their school's readiness for implementing AI governance policies and practices. Complete all sections to receive personalized recommendations and next steps.

Assessment Progress

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1

AI Tools & Usage

Understanding and managing AI tools in your educational environment

This includes both officially approved and informally used AI tools by staff and students

Include criteria for educational value, safety, privacy compliance, and age-appropriateness

Consider supervised vs. independent use, academic vs. creative applications

Regular review of usage patterns, academic integrity concerns, and learning outcomes

2

Policies & Guidelines

Formal policies and procedures governing AI use in your school

Should cover students, teachers, administrators, and parents/guardians

Define what constitutes appropriate vs. inappropriate AI assistance in different contexts

Elementary, middle, and high school may need different approaches and restrictions

Include regular updates and training on policy changes and expectations

3

Student Safety & Privacy

Protecting student data and ensuring safe AI interactions

Check FERPA compliance, data collection practices, and third-party sharing

Include safeguards against harmful, biased, or age-inappropriate AI responses

Education about what information should never be shared and technical safeguards

Include reporting procedures, investigation steps, and corrective actions

4

Training & Support

Building AI literacy and providing ongoing support for your school community

Include hands-on training, pedagogical considerations, and regular updates

Age-appropriate lessons on how AI works, biases, and responsible use

Include workshops, informational materials, and regular communication

Designated point person, help desk, or peer support network

5

Implementation Planning

Strategic planning and evaluation of AI initiatives in your school

Include timeline, resources needed, and measurable objectives

Test effectiveness, identify issues, and gather feedback before full deployment

Include both quantitative metrics and qualitative feedback from stakeholders

Regular review of new tools, best practices, and policy adjustments