feat: sensitive-population safeguards (#109)#140
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#109) - Add institution_sensitive_ml_settings migration and admin ML privacy UI - GET/PATCH /api/admin/sensitive-ml-settings (IR read, admin write); GET /api/sensitive-context - Strip excluded features in complete_ml_pipeline (Postgres-backed loader) - Dashboard KPI + NLQ warnings; extend query audit CSV for sensitive columns / low-sample - Document on AI Transparency page Co-authored-by: Cursor <cursoragent@cursor.com>
…sv_only Fixes Python syntax error that failed ruff/CI on PR #140. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
Implements #109: per-institution ML feature exclusions, automatic low-sample and sensitive-SQL context warnings, and audit log extensions for natural-language queries.
Changes
institution_sensitive_ml_settings(excluded ML keys + threshold) forbscc/admin/sensitive-ml— toggles + threshold (PATCH admin only; GET admin + IR)/api/admin/sensitive-ml-settings,/api/sensitive-context(authenticated roles perroles.ts)ai_model/sensitive_feature_loader.py; strips features from retention / gateway / low-GPA modelssensitivePopulation.messages; Query page warns and logssensitiveSqlColumns/sensitiveLowSample; export CSV adds columnsVerify
Apply the Supabase migration before relying on settings in production.
Closes #109
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