Perkiomen Valley committee begins work on district guidance for artificial intelligence in schools

Perkiomen Valley School District education staff told the district’s Education Committee of the Whole that a teacher–administrator committee has formed to develop guidance on appropriate, ethical classroom uses of artificial intelligence.

The committee, convened at the request of classroom staff, is defining what counts as AI in tools already in common use, identifying data‑privacy risks, and drafting suggested position language for district policy. “What we’re learning is that there are learning tools that are available to our staff and to our students,” the presenter said, and the goal is to “understand AI, where it exists, and how we can use it ethically, responsibly, and in alignment with our policy.”

Why it matters: district staff said many classroom tools already include AI features (voice‑to‑text, recommendation engines, embedded analytics) and that staff asked the administration for clearer direction so teachers can use those tools without violating student‑privacy expectations or amplifying bias. Staff emphasized that students must continue to practice critical thinking and that teachers need guidance on when and how AI can be incorporated into instruction and assessment.

Details presented to the committee included concerns about student data requested by some AI vendors and the need to teach students how to evaluate outputs for biases or inaccuracies. Staff described the work as a preparatory stage: a position statement and aligned curricular materials will be prepared for board presentation in May and June; after presentation, the documents will remain available for 30 days to allow the school board time for review.

The committee characterized the effort as guidance development, not a change in district policy yet. No formal board action was taken at the meeting; staff said they will return with concrete draft language and resources for the board to review.

The district said the committee’s work prioritizes (1) protecting student data; (2) teaching critical evaluation of AI outputs; and (3) identifying instructional opportunities where AI can personalize learning or increase equitable access. The presenter emphasized both risks (privacy, bias, plagiarism) and opportunities (personalized learning and equitable access).

Staff did not provide a final position at the meeting and said implementation details, including any recommended restrictions or procurement language for vendor contracts, remain under development. The committee will bring materials to the board in May and June for the 30‑day review period that precedes board adoption of curriculum documents or accompanying resources.