Trustworthy AI for K-12 special education — grounded, tenant-isolated, FERPA-aligned.
CoIEP is an AI assistant for IEP teams, built by the University of Wyoming with privacy and grounding as the starting design constraints, not as features added later. This page summarizes how we handle student data, the legal framework we operate under, and where we differ from general-purpose chatbots.
A note for readers comparing tools after the recent Denver Public Schools decision to restrict OpenAI: the issue there was a consumer privacy policy that permits training on user inputs. CoIEP is built differently.
store: false) and attaches only a salted hash for abuse detection — never raw organization, user, or session IDs. The account-level Zero Data Retention DPA with OpenAI is in progress; until it is countersigned, the client-side opt-out is in effect on every call.organizationId at the database schema. The foreign key is required. One district’s data cannot appear in another district’s session by query design.| Dimension | ChatGPT / Claude.ai (consumer) | CoIEP |
|---|---|---|
| Training on your inputs | Possible under consumer terms | Disabled via zero data retention |
| Data scoping | Single user account | Per-organization, enforced in schema |
| Grounding source | Model pretraining | Standards + evidence-based practice library |
| Audit trail | None visible to the district | Per-request log, retained |
| Tenant isolation | Not applicable | Required foreign key on every record |
| Legal framework for K-12 | Not designed for it | FERPA, stated explicitly |
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