AI governance in K–12 education
Schools are giving students access to generative AI systems that function like an instructional actor while governing it as a digital tool. That gap is where liability lives.
When a teacher interacts with your child, there is a license behind that conversation, a supervisor, and an insurer. When a generative AI system does the same, in real time, on a school-issued device, those structures may not exist. We define the structural conditions that have to be in place before those systems are handed to a child.
The insurance signal
In 2026, insurers began introducing endorsements that specifically exclude liability for harms arising from generative AI outputs - including ISO endorsements CG 40 47 and CG 40 48.
This raises a forward-looking governance question: has student use of generative AI on school-issued devices been explicitly evaluated and affirmatively covered within current underwriting structures?
Frameworks
Three interconnected policy frameworks
Each framework addresses a distinct layer of the accountability problem.
The IAF is the primary instrument for risk managers, legal counsel, underwriters, and school administrators.
Primary framework · Risk & insurance
Institutional Accountability Framework (IAF)
"Schools are deploying generative AI functioning as an instructional actor while governing it as a digital tool. That gap is where liability lives”
Defines the conditions under which schools remain legally and institutionally responsible when AI systems interact with students in real time. Generative AI systems have no internal mechanism that binds content to institutional authority before a student receives it. The IAF defines what has to be true structurally for a district to remain within its duty of care obligations: supervision that is enforceable, interactions that can be properly attributed and are reconstructable, and a responsible entity that can intervene, investigate, and be held accountable when harm occurs. Vendor disclaimers define what the vendor won't cover. The IAF defines what the district still owns
Risk managers Legal counsel Underwriters School boards District administrators
Structural framework
Structural Non-Attribution Risk Framework (SNAR)
Examines how generative systems operate when they lack reliable harm signals, clear attribution, consequence binding, and constraint mechanisms — and why failures propagate at scale.
Legislative infrastructure
Digital Signal Infrastructure Act (DSIA)
Establishes OS-level Micro J-Tag signals for age and jurisdiction observability across digital ecosystems — infrastructure that makes enforcement of child-protection laws possible.