Scope an AI workflow review Prepare evidence for a school buyer

How do we show OCR we measured our school AI for discrimination?

You show it with documented, reproducible measurement of the tool's outcomes across protected groups, plus the mitigation steps you took where disparity appeared — evidence that you proactively assessed discriminatory impact rather than assumed neutrality.…

register 09 · Compliance pins· OCR AI Guidance
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Answer.

Education / student-data rule · OCR AI Guidance.

You show it with documented, reproducible measurement of the tool's outcomes across protected groups, plus the mitigation steps you took where disparity appeared — evidence that you proactively assessed discriminatory impact rather than assumed neutrality. Comparable, tamper-evident records are persuasive. Planisphere produces that cohort-comparison evidence as a sha-pinned record, run without ingesting student PII where designed; it evidences the measurement, OCR makes any compliance finding.

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The mark behind the answer.

OCR AI Guidance protects students — their records, their civil rights, their access. When an AI sits in an eligibility, …

ED Office for Civil Rights · discriminatory-AI nondiscrimination resource.

→ Full reference for OCR AI Guidance

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More on OCR AI Guidance.

Other questions this mark answers.
What does ED OCR's AI guidance require schools to check for? How do we attest an early-warning / dropout-prediction model is fair across cohorts? How does Planisphere measure cohort fairness without touching student PII?

Prepare evidence for OCR AI Guidance review.

First evidence record within 21 days of access · re-runs in a single business day. Planisphere measures model behaviour and emits a reproducible, sha-pinned record — it does not certify, file, or give legal advice.

Scope an AI workflow review Prepare evidence for a school buyer OCR AI Guidance reference