AI is entering classrooms faster than the safeguards necessary to protect children. The AI Ethics Index for K-12 Education provides rigorous, education-specific evaluation frameworks for the AI systems shaping how children learn.
AI systems built for general use carry different risks when deployed in schools. The ethical stakes are higher. The safety margins must be wider. The evidence bar must be higher.
Children’s cognitive, emotional, and social development is malleable and ongoing. AI systems that shape how young people think, feel, or relate to others carry long-term consequences that may not surface for years.
Students cannot opt out of school-mandated technology. They cannot negotiate terms of service. They often cannot distinguish between AI-generated content and human input.
The relationships students form with AI systems during formative years may shape their baseline expectations for human-AI interaction throughout their lives.
Data collected about children today may follow them into adulthood. Behavioral profiles, learning records, and interaction logs create shadows that persist.
Schools act in loco parentis. Their legal and moral duty to protect students extends to every tool they deploy.
These realities demand evaluation frameworks designed specifically for educational contexts.
Assesses whether the system’s objectives, assumptions, and constraints are clearly articulated, justified, and appropriate for the intended use and societal context.
Evaluates disparate impact, representational harms, and structural biases using quantitative tests and contextual analysis.
Examines data provenance, collection practices, consent pathways, retention policies, and risks of re-identification or exposure.
Measures the clarity, completeness, and accessibility of documentation, disclosures, interpretability tools, and known limitations.
Evaluates factual accuracy, error modes, hallucination profiles, citation reliability, and the system’s capacity to differentiate fact from inference.
Assesses usability, clarity of affordances, risk of misuse or over-reliance, and differential effects across user groups.
Tests adversarial resilience, jailbreak resistance, harmful content refusal, robustness under stress conditions, and safe-failure behavior.
Evaluates downstream and second-order effects on communities, institutions, equity, labor, democratic trust, and public wellbeing.
Assesses internal governance structures, documentation practices, incident response, versioning, and mechanisms for redress.
Building on the core framework of the AI Ethics Index, our K-12 framework focuses evaluation on what matters most in schools:
CHILD SAFETY & WELLBEING
Does this system protect students from harm?
LEARNING EFFICACY & INTEGRITY
Does this system actually support learning?
PRIVACY & DATA STEWARDSHIP
Does this system protect students information?
EQUITY & ACCESSIBILITY
Does this system work for all students?
HUMAN AGENCY & RELATIONSHIP
Does this system support healthy development?
The AI Ethics Index provides clear evaluation criteria, procurement guidance, risk visibility, and audit-ready documentation—practical tools that fit real-world constraints.
We’re working with pioneering districts to develop assessment approaches that work within limited budgets, limited time, and unlimited responsibility.
We’re developing frameworks that help EdTech companies design with safety prioritized from the start, earn stakeholder trust through third-party evaluation, prepare for emerging regulations, and differentiate on verified ethical integrity.
We’re seeking partners to co-develop evaluation protocols, pilot assessment processes, and establish the first cohort of ethically certified educational AI systems.
Current oversight mechanisms were not designed for AI in schools. We’re seeking policy partners and philanthropic support to accelerate development, expand access, and establish education-specific evaluation as a public good.
The K-12 framework is in active development with research institutions and EdTech organizations. If you’re working on AI in education and want to be part of shaping how it’s evaluated, we’d like to hear from you.
The AI Ethics Index is an initiative of the Just Horizons Alliance, a 501(c)(3) public charity advancing responsible, human-centered innovation. Our work spans AI ethics, computational social science, simulation modeling, and the design of systems that strengthen human dignity, equity, and societal wellbeing.