Governance Overview
Welcome to your AI Governance command center. This dashboard provides a high-level view of your emerging AI-specific governance frameworks, focusing on model training data integrity and automated transparency reporting required for regulatory compliance.
Overall Compliance
⚖️87%
↑ 4% from last audit
Active Models
🤖12
3 High Risk • 9 General Purpose
DSAR Requests
🔍5
2 Pending Traceability Review
Governance Maturity Assessment
Evaluation of current systems against emerging AI-specific governance protocols.
Urgent Actions
Review Training Constraints
Model "Alpha-V2" flagged for potential PII inclusion in training set batch #402.
EU AI Act Disclosure Pending
Marketing GenAI tool requires updated transparency report for Q4.
Model Training Data Governance
Manage the "Input" side of your AI lifecycle. Identify personal data, enforce "do not train" constraints, and ensure traceability for Data Subject Access Requests (DSAR).
Identifying Personal Data in Datasets
Automated scanning results for training corpus. Highlighting areas requiring "Do Not Train" enforcement.
Enforce Constraints
Manage "Do Not Train" lists.
Traceability & DSAR Requests
Trace specific data points to trained models to fulfill "Right to be Forgotten".
Trace Results
| Model Name | Impact Level | Action |
|---|---|---|
| Sentiment-Analyzer-v3 | High (Direct Training) | Initiate Retraining |
| Recommender-Sys-Beta | Medium (Embeddings) | Purge Vector ID |
Transparency & Explainability
Manage the "Output" side. Generate automated disclosures for the EU AI Act and visualize the mapping between model behaviors and data sources.
Automated Disclosure Generator
Select a model to generate a standardized disclosure report suitable for regulatory submission.
Select parameters to generate report
AI System Transparency Statement
EU AI Act Compliance • Generated
This model was trained on historical transaction data (2018-2023). Warning: Performance may degrade for applicants with thin credit files ("cold start problem").
All automated rejections above threshold 0.85 are routed to human review queue #4.
Behavior-to-Data Mapper
Interactive visualization connecting specific model behaviors (Outputs) back to their originating data sources and purposes. Hover over a behavior to trace its lineage.