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.…
Answer.
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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ED Office for Civil Rights · discriminatory-AI nondiscrimination resource.
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Start with the free sandbox. Planisphere measures model behaviour and emits a reproducible, sha-pinned record — it does not certify, file, or give legal advice.