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01-uml-class-diagram.puml
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02-use-case-diagram.puml
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application-documentation.md
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conversation-log.md
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dashboard-spec.md
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database-guide.md
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development-summary.md
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/home/techb158/cosmic-risk.abdallabala.com/docs/dashboard-spec.md
(3691B)
# COSMIC AI-Risk Dashboard Specification ## Purpose The dashboard operationalizes COSMIC AI-Risk Management as a software artifact. It helps a project team quantify, review, mitigate, and govern AI project risks. ## Source-derived foundation The implementation uses these source-derived concepts: 1. AI projects require a new risk approach because they depend on data quality, model stability, experimentation, opacity, effort uncertainty, and deployment challenges. 2. The research question focuses on quantifying AI project risks with a standardized metrological framework that integrates organizational, technical, and human dimensions. 3. The conceptual foundation includes COSMIC, ISO 19761, ISO 15939, SWEBOK, VIM, and Zaouache's governance triangle. 4. COSMIC-Risk aims to define indicators, build a software prototype, create an API, and validate the framework. 5. The governance triangle structures risk into organizational, technical, and human dimensions. ## Implementation extensions The source deck does not define a concrete dashboard scoring engine. This package proposes the following implementation logic: 1. Risk score = probability x impact x detectability, normalized to 0 to 100. 2. Residual score = normalized score reduced by mitigation progress and expected mitigation effectiveness. 3. Overall score = average residual active risk plus approval penalty for unresolved high and critical risks. 4. Gate status = Ready, Warning, or Blocked based on risk score, mitigation completeness, data readiness, model metrics, legal review, ethical review, and approval state. ## Dashboard views | View | Purpose | |---|---| | Overview | Show risk score, gate status, governance triangle, lifecycle readiness, and top risks. | | Risk register | Track all risks, owners, scores, status, approvals, and evidence. | | Deployment gate | Apply measurable criteria to determine release readiness. | | Indicators | Show measurands, units, and interpretation rules. | | Experiments | Connect model performance evidence to risk governance. | | Project-management mapping | Map the dashboard model to Trello, Jira, Asana, and Microsoft Planner work-management objects. | | Source alignment | Separate source-derived concepts from implementation extensions. | ## Gate criteria | Criterion | Rule | |---|---| | Overall risk score | Must be less than or equal to 50. | | Open critical risks | Must be 0 unless approved or accepted. | | Mitigation completeness | Must be at least 60 percent. | | Data readiness | Must be at least 70. | | Selected model F1 | Must be at least 0.80. | | Selected model stability | Warning below 75. | | Ethical review | Must be approved or accepted. | | Legal review | Must be approved or accepted. | | High-risk approval state | No unapproved high risks. | ## Project-management integrations The prototype supports a shared integration model for Trello, Jira, Asana, and Microsoft Planner. Trello remains useful for the Power-Up prototype, but the dashboard should not be designed as Trello-only. | COSMIC object | Trello | Jira | Asana | Microsoft Planner | |---|---|---|---|---| | Project | Board | Project | Project | | Risk | Card | Issue | Task Task | | Lifecycle phase | List | Workflow status or field | Section or custom field | | Dimension | Label | Label or component | Tag or custom field | | Risk score | Custom field or badge | Custom field | Custom field | | Mitigation | Checklist item | Sub-task or linked issue | Subtask Checklist item | | Evidence | Attachment or comment | Attachment or comment | Attachment or comment | | Owner | Member | Assignee | Assignee | | Due date | Card due date | Issue due date | Task due date |
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