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Quaker Valley school board approves AI use policy

The Quaker Valley School Board voted 8-0 on Sept. 22 to adopt a policy governing the ethical and safe use of generative AI, prohibiting its use on graded assignments without teacher permission and banning the input of personally identifiable information into non-district AI tools.

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triblive.comhttps://triblive.com/local/sewickley/quaker-valley-school-board-approves-policy-regulating-ai-use-in-the-district/
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Key terms

AI Governance
Policies, standards, and oversight mechanisms that guide how AI is developed and used in society.
Generative AI
AI systems that produce new content such as text, images, audio, video, or code.
Guardrails
Rules, checks, and controls that limit unsafe or undesired model behavior.
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What happened

Quaker Valley School District officials approved a formal policy regulating the use of in K-12 classrooms. The board voted unanimously on Sept. 22 to establish that restrict AI use on graded work and protect student data. The district currently uses a staff-only platform called SchoolAI and plans to expand access to grades 6-12 after further professional development, though no specific timeline for student access has been set.

The Quaker Valley School Board voted 8-0 on Sept. 22 to approve a policy outlining the ethical, safe, and educationally appropriate use of in the district. The policy was developed over the previous school year with input from board members, administration, and student representatives.

Under the new rules, is not permitted for use on graded assignments or projects unless the teacher provides express written instructions. Teachers are prohibited from using AI to grade student work, which remains the sole responsibility of the educator. The district also bans the use of personally identifiable information of students and employees in generative AI tools not specifically procured by the district.

Currently, the district uses a platform called SchoolAI, which is available only to staff. No student devices have this programming installed. District officials plan to introduce AI into classrooms for grades 6 through 12 once additional professional development is completed, but there is no mandated use or definitive timeline for a student platform launch.

Bret Slezak, the district’s director of innovation, stated that the policy is designed to build governance and to lead through . He acknowledged that students are on an honor system regarding AI use on home computers and that educators will rely on professional judgment and authentic assessment design to identify AI-assisted work.

The policy includes a disclaimer stating the district is not responsible for inaccuracies, data loss, or unauthorized charges resulting from the use of tools. Students who violate teacher instructions regarding AI use are subject to disciplinary action under the student code of conduct.

Source details: triblive.com ↗

Why it matters

This policy represents a concrete local implementation of in education, balancing the potential benefits of personalized learning with the need to preserve academic integrity and data privacy. By explicitly prohibiting AI from grading student work and restricting the use of personally identifiable information in third-party tools, the district addresses key safety and ethical concerns. It also highlights the practical challenges schools face in monitoring off-campus AI use, relying on teacher-student relationships and authentic assessment design rather than technical surveillance. This move signals a broader trend of educational institutions moving from vague guidelines to enforceable policies as AI tools become more prevalent in student life.

The policy provides a clear framework for integrating AI into education while mitigating risks related to academic integrity and data privacy. By explicitly restricting AI's role in grading and assessment, the district aims to preserve the value of human expertise and teacher-student relationships.

The prohibition on using personally identifiable information in non-district AI tools addresses significant security and privacy concerns, ensuring that sensitive student data is not exposed to third-party platforms with potentially different data handling practices.

The approach to off-campus AI use, which relies on honor systems and teacher judgment rather than technical monitoring, reflects a pragmatic response to the limitations of current technology. It emphasizes the importance of authentic learning experiences and the irreplaceable role of human connection in education.

This local policy serves as a case study for other districts navigating the rapid evolution of AI tools. It demonstrates how schools can establish enforceable standards while remaining flexible enough to adapt to future changes in AI capabilities and educational needs.

Interactive Mechanism

Interactive Mechanism: How It Actually Works

Explore the underlying technology behind this development interactively.

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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What to watch next

Monitor the timeline for the rollout of AI tools to students in grades 6-12 and the specific professional development programs provided to teachers. Watch for the formation of the student technology advisory committee and updates to student records policies. Additionally, observe how the district enforces the honor system regarding off-campus AI use and whether the policy requires revisions as AI capabilities evolve.

The specific timeline and conditions for expanding AI access to students in grades 6-12, including the completion of professional development for teachers.

The establishment and composition of the student technology advisory committee, which is expected to provide ongoing input on AI use in the district.

Updates to student records policies and retention schedules to align with the new AI usage guidelines and data privacy requirements.

How the district enforces the policy regarding off-campus AI use, including any changes to assessment design or disciplinary procedures for violations.

Related guides & quizzes

AI EthicsFuture of AIWhat is AI?Test what you know — try a free AI quizLook up an AI term in our glossaryFollow the AI regulation tracker
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