Name	Size	Mode	Actions
store.json	13733	0644	editdlrm

{ "version": 1, "updatedAt": "2026-07-16T18:25:20.861Z", "boards": [], "cards": [], "assessments": [ { "id": "bb46e917-5403-47ef-966f-69f0e2845e25", "boardId": "6a510960bac709e025ae5c0f", "cardId": "6a5109eeff4650c50a156c10", "input": { "projectTypology": "ai_enabler", "lifecyclePhase": "data_preparation", "measurementMaturity": "defined", "approvalState": "draft", "metrics": { "modelPerformanceScore": 70, "dataReadinessScore": 55, "ethicalReviewCompleted": false, "legalReviewCompleted": false }, "risks": [ { "title": "Training data quality is insufficient", "dimension": "technical", "category": "technical", "lifecyclePhase": "data_preparation", "probability": 4, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 35, "mitigation": "Validate source data, define data quality thresholds, document missingness and bias checks, and attach evidence before model training continues.", "approvalState": "draft" } ] }, "score": { "projectTypology": "ai_enabler", "lifecyclePhase": "data_preparation", "measurementMaturity": "defined", "score": 29, "status": "medium", "averageMitigationCompleteness": 35, "dimensionTotals": { "organizational": 0, "technical": 52, "human": 0 }, "highestRisk": { "title": "Training data quality is insufficient", "category": "technical", "dimension": "technical", "lifecyclePhase": "data_preparation", "probability": 4, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 35, "owner": null, "dueDate": null, "mitigation": "Validate source data, define data quality thresholds, document missingness and bias checks, and attach evidence before model training continues.", "approvalState": "draft", "rawScore": 80, "residualScore": 52 }, "gate": { "deploymentReady": false, "blockingReasons": [ "Mitigation completeness is below 60%.", "Risk is not approved or accepted.", "Data readiness score is below 70%.", "Ethical review is not completed.", "Legal review is not completed." ] }, "risks": [ { "title": "Training data quality is insufficient", "category": "technical", "dimension": "technical", "lifecyclePhase": "data_preparation", "probability": 4, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 35, "owner": null, "dueDate": null, "mitigation": "Validate source data, define data quality thresholds, document missingness and bias checks, and attach evidence before model training continues.", "approvalState": "draft", "rawScore": 80, "residualScore": 52 } ], "interpretation": "Residual AI project risk is medium with a normalized score of 29/100. 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Deployment gate is blocked by 4 criterion or criteria." }, "createdAt": "2026-07-10T15:16:49.468Z", "updatedAt": "2026-07-10T15:16:49.468Z" }, { "id": "8b1f7036-4a6a-4781-853a-8a23a7de584e", "boardId": "6a59155b89080a813bd16e06", "cardId": "6a5915a68d1cc6ad926c8ff3", "input": { "projectTypology": "ai_enabler", "lifecyclePhase": "testing_evaluation", "measurementMaturity": "defined", "approvalState": "draft", "metrics": { "modelPerformanceScore": 72, "dataReadinessScore": 70, "ethicalReviewCompleted": false, "legalReviewCompleted": false }, "risks": [ { "title": "Bias or unfair outcome risk is unresolved", "dimension": "human", "category": "legal_ethical", "lifecyclePhase": "testing_evaluation", "probability": 3, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 15, "mitigation": "Run subgroup performance analysis, document fairness criteria, review affected stakeholder groups, and record ethics approval evidence.", "approvalState": "draft" } ] }, "score": { "projectTypology": "ai_enabler", "lifecyclePhase": "testing_evaluation", "measurementMaturity": "defined", "score": 16, "status": "low", "averageMitigationCompleteness": 15, "dimensionTotals": { "organizational": 0, "technical": 0, "human": 51 }, "highestRisk": { "title": "Bias or unfair outcome risk is unresolved", "category": "legal_ethical", "dimension": "human", "lifecyclePhase": "testing_evaluation", "probability": 3, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 15, "owner": null, "dueDate": null, "mitigation": "Run subgroup performance analysis, document fairness criteria, review affected stakeholder groups, and record ethics approval evidence.", "approvalState": "draft", "rawScore": 60, "residualScore": 51 }, "gate": { "deploymentReady": false, "blockingReasons": [ "Mitigation completeness is below 60%.", "Risk is not approved or accepted.", "Ethical review is not completed.", "Legal review is not completed." ] }, "risks": [ { "title": "Bias or unfair outcome risk is unresolved", "category": "legal_ethical", "dimension": "human", "lifecyclePhase": "testing_evaluation", "probability": 3, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 15, "owner": null, "dueDate": null, "mitigation": "Run subgroup performance analysis, document fairness criteria, review affected stakeholder groups, and record ethics approval evidence.", "approvalState": "draft", "rawScore": 60, "residualScore": 51 } ], "interpretation": "Residual AI project risk is low with a normalized score of 16/100. Deployment gate is blocked by 4 criterion or criteria." }, "createdAt": "2026-07-16T18:20:27.744Z", "updatedAt": "2026-07-16T18:20:27.744Z" }, { "id": "a1e23f1a-0c49-4620-b039-aae410919b76", "boardId": "6a59155b89080a813bd16e06", "cardId": "6a5915b8bbb3c1a2c5a1f7d9", "input": { "projectTypology": "ai_enabler", "lifecyclePhase": "testing_evaluation", "measurementMaturity": "defined", "approvalState": "draft", "metrics": { "modelPerformanceScore": 75, "dataReadinessScore": 70, "ethicalReviewCompleted": false, "legalReviewCompleted": false }, "risks": [ { "title": "Bias or unfair outcome risk is unresolved", "dimension": "human", "category": "legal_ethical", "lifecyclePhase": "testing_evaluation", "probability": 4, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 25, "mitigation": "Run subgroup performance analysis, document fairness criteria, review affected stakeholder groups, and record ethics approval evidence.", "approvalState": "draft" } ] }, "score": { "projectTypology": "ai_enabler", "lifecyclePhase": "testing_evaluation", "measurementMaturity": "defined", "score": 19, "status": "medium", "averageMitigationCompleteness": 25, "dimensionTotals": { "organizational": 0, "technical": 0, "human": 60 }, "highestRisk": { "title": "Bias or unfair outcome risk is unresolved", "category": "legal_ethical", "dimension": "human", "lifecyclePhase": "testing_evaluation", "probability": 4, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 25, "owner": null, "dueDate": null, "mitigation": "Run subgroup performance analysis, document fairness criteria, review affected stakeholder groups, and record ethics approval evidence.", "approvalState": "draft", "rawScore": 80, "residualScore": 60 }, "gate": { "deploymentReady": false, "blockingReasons": [ "Mitigation completeness is below 60%.", "Risk is not approved or accepted.", "Ethical review is not completed.", "Legal review is not completed." ] }, "risks": [ { "title": "Bias or unfair outcome risk is unresolved", "category": "legal_ethical", "dimension": "human", "lifecyclePhase": "testing_evaluation", "probability": 4, "impact": 5, "detectionDifficulty": 4, "mitigationCompleteness": 25, "owner": null, "dueDate": null, "mitigation": "Run subgroup performance analysis, document fairness criteria, review affected stakeholder groups, and record ethics approval evidence.", "approvalState": "draft", "rawScore": 80, "residualScore": 60 } ], "interpretation": "Residual AI project risk is medium with a normalized score of 19/100. Deployment gate is blocked by 4 criterion or criteria." }, "createdAt": "2026-07-16T18:25:20.860Z", "updatedAt": "2026-07-16T18:25:20.860Z" } ] }