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COSMIC AI-Risk Dashboard

COSMIC AI-Risk Management

COSMIC AI-Risk Dashboard

Integrated Measurement Framework for AI Project Risks

Loading assessment

Actor: System Admin
6.2

AI Governance Triangle

Organizational, technical, and human residual risk.

Risk dimensions

Dimension scores

Normalized residual risk exposure by dashboard dimension.

AI lifecycle

Lifecycle readiness map

Dashboard backbone from needs identification through deployment and monitoring.

Top risks

Highest residual risk exposure

Prioritized by current residual score after mitigation progress.

ID Risk Dimension Residual Level Owner
Risk register

AI project risk register

0 risks shown

ID Risk and evidence Dimension Lifecycle phase P I D Raw normalized Residual Status Approval Owner Mitigations Actions
Mitigation workflow

Mitigation management

0 mitigation actions shown

ID Mitigation action Linked risk Status Progress Effectiveness Due date Owner Evidence Residual impact Actions
Deployment gate

Gate decision workflow

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Loading gate result.

Reviewer decision

No persisted gate selected.

Evidence traceability rules

Each criterion stores the calculated evidence, reviewer note, review status, and optional evidence reference. This creates the audit trail expected by the design-first model.

  • Blocked criteria require reviewer notes.
  • External evidence can be a URL or internal document reference.
  • Reviewer decision is stored separately from calculated gate status.
Gate criteria

Criteria notes and evidence

ID Criterion Required Actual Status Evidence Reviewer controls
Gate history

Persisted deployment gate evaluations

0 persisted gate evaluations

Gate ID Evaluated Calculated status Review status Reviewer Blocking criteria Evidence links Action
Audit trail

Governance audit events

Audit ID Time Actor Entity Entity ID Action
ISO-style indicator catalog

Risk indicators and measurands

Operational implementation of measurable AI risk indicators.

AI model evidence

Experiments and model metrics

Model performance, stability, reproducibility, and fairness status used as risk evidence.

ID Experiment Model Accuracy F1 Precision Recall AUC Bias Stability Reproducibility
Project management integration

Multi-application integration layer

Shared adapter model for Trello, Jira, Asana, and Microsoft Planner. This keeps COSMIC risk logic independent from each project-management tool.

Application Workspace / project Connection Sync direction Object mapping Last sync Actions
External mappings

Risk to work-item traceability

Shows how COSMIC AI risks are represented in external project-management applications.

Application COSMIC risk External item External status Sync status Last synced
Sync history

Project-management sync runs

Audit-friendly record of synchronization activity.

Run Application Status Created Updated Failed Summary
Reporting

Instructor-ready reports and exports

Exports package the current risk register, mitigation evidence, deployment gate, indicators, PM mappings, and audit trail.

Report contents

Evidence package coverage

    Export notes

    Submission use

    The executive HTML report is designed for browser printing or saving as PDF. CSV exports are intended for spreadsheet review. JSON exports preserve the full evidence structure for technical review.

    The reporting module is an implementation extension. It packages the measurable risk evidence requested by the source framework.

    Step 8

    User roles and access control

    Switch actor to test role-based permissions for risks, mitigations, gates, reports, OAuth, and PM sync.

    Users

    Application users

    UserEmailRoleStatus
    Roles

    Permission matrix

    RolePermissions
    Traceability

    Source alignment and implementation extensions

    The dashboard separates source-derived concepts from software design logic.

    Element Source status Dashboard interpretation