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KUSD unveils draft generative‑AI policy emphasizing '80/20' human oversight

Kenosha Unified School District — Audit, Budget & Finance Committee (combined committees later) · December 2, 2025
AI-Generated Content: All content on this page was generated by AI to highlight key points from the meeting. For complete details and context, we recommend watching the full video. so we can fix them.

Summary

District staff previewed a generative‑AI policy and instructional website recommending controlled, instructional use of tools in Google Workspace, an "80/20" rule that keeps humans in control, and guidance on data privacy and detection tools for academic integrity.

Kenosha Unified School District staff presented a draft generative‑AI policy and an accompanying AI resources website in a public committee meeting, emphasizing instructional opportunities while limiting data risks and misuse.

A short video launched the discussion and framed the district's approach around three goals: make teaching more efficient, spark innovation, and ‘‘use it to genuinely support student learning.’’ The video included a principle that staff repeated during the committee: "AI should be used to complement, not replace quality teaching." The presentation also promoted an "80/20" guideline for classroom use — allow AI to do the heavy lifting for background research or initial drafts (the 80%), with the teacher or student supplying the final 20% of critical thinking and evaluation.

Christina O'Regan and Chris Keckler described practical parts of the proposal: recommended district tools (Google Gemini, Gemini Gems and NotebookLM) that run inside the district Google Workspace to protect data, and prompt‑engineering practices that ask staff to identify role, objective, audience, style and timeline when generating outputs. O'Regan demonstrated that tools hosted inside the district domain are not used to train external models and that the district can audit prompts and outputs via its Vault capabilities.

On academic integrity, staff noted that AI‑detection and classroom‑management tools (Turnitin, Class Companion, and district versions of GoGuardian/Class Tools) can flag suspicious activity but that teacher judgment and assignment design remain the primary defenses against misuse. "It's only as good as the information that it's working with and that 1 of the very first stats that it gave that 66%... was from a 2024 study," staff said when explaining how the video used cited research and why transparency on sources matters.

Committee questions focused on student data protection, intellectual property for teacher materials, equity of access (how students with restricted internet or device limits will participate), and whether exemption review teams should include currently practicing classroom teachers. Staff said the policy covers both staff and student use in a single document to avoid duplication and pointed to an instructional website and training resources for rollout.

Next steps: staff asked for feedback from committee members and indicated the policy will return to the board for first and second readings with supporting resources and professional learning plans attached.