Track AI Risk Messaging with Data-Driven Insight
Build a dashboard that visualizes risk communication performance, stakeholder sentiment, and follow-up actions for AI programs.
AI Risk Communication Dashboard
Engagement Overview: Views of reach, open rates, and click-through by
Sentiment & Feedback: Surveys, social listening, and stakeholder sentiment trends.
Action Tracking: Follow-up tasks, escalations, and SLA adherence.
Compliance metrics: message approvals, documentation completeness, and
Align metrics with governance communication objectives and risk appetite statements.
Data Integration & Quality
Frequently asked questions
What is the purpose of Operations & Adoption?
Operations & Adoption
How should dashboard owners be assigned to ensure data accuracy and effectiveness?
Dashboard owners are responsible for maintaining the integrity of the data displayed, suggesting improvements to the dashboards, and ensuring that key stakeholders have access to and understand the information presented. This ensures a proactive approach to data quality and user engagement.
How can dashboard usage be integrated into existing governance processes?
Dashboard utilization should be incorporated into regular governance meetings, executive reports, and post-incident analyses to promote accountability and informed decision-making based on the data.
Where can feedback regarding new views and metrics be submitted?
Feedback loops are designed to collect requests for new visualizations, additional metrics, or enhanced storytelling capabilities within the system, allowing for continuous improvement and adaptation to user needs.
▶ Try it live
Everything above runs in your browser — open Dimensionality Reduction: PCA, t-SNE & UMAP and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.