Data Correction
Synthetic Augmentation Decision Tool
A governed decision path for diagnosing representation deficits and determining when synthetic augmentation is appropriate.
- DPR ≥ 0.80
- AUC tolerance ≤ 0.02
- Training-fold controls
Participant library
Review the practitioner tools before completing the questionnaire. Each document translates one PAL layer into a concrete workflow, record, or decision process. Select any tool to view it right here on this site.
Data Correction
A governed decision path for diagnosing representation deficits and determining when synthetic augmentation is appropriate.
Bias Detection
A production monitoring and escalation protocol with event triggers, accountable owners, and retained evidence.
Explainability
An applicant-level record connecting model attribution, counterfactual review, proxy screening, and regulatory reason language.
Governance
A pre-commitment and evidence-retention structure for repeatable, independently reviewable fairness decisions.
Keep these tools open as references while rating their relevance and feasibility.
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