From the K–12 edition of October 9, 2026
Utah draft model policy: default policy for non-adopting LEAs, no AI grading, parental-consent AI sandbox courses
Utah State Board of Education · K-12 education · Utah, US
- Publisher
- Utah Public Notice Website
- Original publication
- Draft 2 for October 2026 Board (PDF created 2026-10-07)
- Source retrieved
- 2026-10-10
What happened
USBE's draft Instructional Technology and AI Model Policy and Implementation Resource (Draft 2, October Board) implements 53G-7-228/-229, 53G-7-1401 to -1403 and Rule R277-334. It states that if an LEA fails to adopt its own policies the model policy becomes its default; requires LEAs to prohibit generative AI from independently grading student work or making high-stakes determinations, train staff and monitor compliance; requires written parent notification for instructional generative AI; and sets conditions for optional grades 9-12 AI Sandbox courses (CTE only, parent notification, written consent, voluntary). It adds a students-with-disabilities section on AI and the IEP process and appendices including an approved-tools transparency template. Why now: this companion model policy is newly posted for the October board; the archive holds only the R277-334 rule draft.
Why it matters
Shows the concrete local-policy template Utah LEAs will inherit by default, complementing the archived rule.
Evidence and measured results
Draft document (~3,100 text lines) inspected via table of contents and the AI, sandbox, LEA-responsibility and model-policy sections; draft redlines visible.
Limitations and uncertainty
Draft with tracked bracketed edits; final board action not observed. No outcome evidence.
Put this evidence to work
Lighthouse Advisory interpretation, grounded in this source. Enriched 2026-10-09; this does not change the original publication date. Each role follows the same checklist so takeaways compare across sources.
Sales
Role takeaway
- Customer problem
- LEAs must adopt compliant instructional technology and AI policies or inherit the state model by default.
- Stakeholders
- LEA superintendents and boards
- Technology directors
- CTE directors
- Special education directors
- Parents
- Discovery questions
- Will the LEA adopt its own policy or the model?
- Is there a current approved-tools inventory with metadata links?
- Does the LEA plan an AI Sandbox course?
- How is parent notification delivered today?
- Value hypothesis
- Interpretation: template adaptation and inventory support may shorten compliance work; unproven.
- Potential engagement
- Bounded policy-adaptation and approved-tools transparency workshop for one LEA.
- Unsupported claims
- Learning gains
- That the draft text is final
- Cost savings
Pre-sales engineering
Role takeaway
- Fit
- Fits tools with admin controls over grading features, data-sharing transparency and SSO rostering.
- Architecture and integration
- Approved-tool inventory feeding parent-facing transparency template; consent records linked to SIS rosters for sandbox courses.
- Prerequisites
- Tool inventory with data dictionary links
- SIS consent fields
- Staff training records
- Constraints
- Generative AI may not independently grade or make high-stakes determinations
- Sandbox courses limited to grades 9-12 CTE with written consent
- Draft subject to board change
- Security
- Sandbox and instructional use must meet federal/state privacy and student data protection requirements using approved tools only.
- Proof of value
- Show autograde features can be disabled or require human sign-off
- Generate a transparency appendix entry for a tool
- Track consent for a test sandbox roster
Delivery
Role takeaway
- Work
- Policy adoption decision, staff training, parent notification and school-level compliance monitoring.
- Dependencies
- Final USBE board action
- R277-334 rule finalization
- LEA board adoption
- Ownership
- LEA superintendent and local board, with technology and CTE directors.
- Skills and adoption
- Required staff training on the LEA AI policy; educators must communicate permitted uses to students and parents.
- Governance checkpoints
- LEA adopt/adapt/default decision
- Approved-tools list publication
- Annual compliance monitoring
- Acceptance criteria
- Proposed: approved-tools list published with metadata links
- Proposed: written consent on file for 100% of sandbox students
- Proposed: all staff complete AI policy training
- Risks
- Defaulting without monitoring capacity
- Draft-final text drift
- IEP AI considerations applied inconsistently
Implementation considerations
Lighthouse Advisory interpretation across the operating dimensions a public-sector buyer must settle before this evidence becomes a design. Each note answers the question under its heading for this specific source.
Architecture and integration
What must connect, and where does the AI sit in the workflow?
Approved-tool transparency template with metadata links implies LEAs need an inventory system publishable to families.
Governance
Who approves, reviews and stays accountable for outcomes?
Default-policy mechanism means non-acting LEAs are governed by state text; human decision required for grading and high-stakes uses.
Security and privacy
What data, permissions and controls need testing?
Sandbox courses must comply with federal/state privacy and student data protection requirements; approved tools only.
Accessibility and workforce
Who is affected, and what skills or accommodations follow?
Dedicated students-with-disabilities section and IEP-process guidance; staff training required.
Procurement
What should contracts, pricing and exit terms secure?
Approved-tool transparency and review templates become de facto procurement documentation.
Operating model
Which teams own the service once it runs?
Default-policy mechanism shifts work to LEAs that lack capacity to adapt.
Publication history
- 2026-10-09K–12 · Issue 333 resources
Stable resource ID: utah-usbe-instructional-tech-ai-model-policy-draft2-202610