Dashboard Guide

Overview

The Fairmind dashboard is your central hub for AI governance and monitoring. It provides real-time insights into your AI systems' performance, fairness metrics, and compliance status.

Getting Started

When you first access the dashboard, you'll see an overview of all your registered AI models and their current status. The dashboard is organized into several key sections:

Main Dashboard

The main dashboard displays:

• Model Overview: Total number of models, active models, and models requiring attention
• Bias Detection Results: Recent bias analysis results and alerts
• Performance Metrics: Model accuracy, fairness scores, and drift indicators
• Recent Activity: Latest model updates, deployments, and alerts

Navigation

Use the sidebar navigation to access different sections:

• Dashboard: Main overview and metrics
• Bias Detection: Detailed bias analysis tools and results
• Models: Model registry and management
• Monitoring: Real-time monitoring and alerting
• Provenance: Model lineage and audit trails

Dashboard Components

Metrics Cards

The top of the dashboard displays key metrics in card format:

• Total Models: Number of registered AI models
• Active Models: Models currently in production
• Bias Alerts: Number of active bias detection alerts
• Compliance Score: Overall compliance rating

Charts and Visualizations

Interactive charts help you visualize:

• Bias detection trends over time
• Model performance comparisons
• Fairness metrics across different demographic groups
• Compliance status by model

Best Practices

• Check the dashboard regularly for new alerts and insights
• Set up custom alerts for specific bias thresholds
• Use the filtering options to focus on specific models or time periods
• Export reports for stakeholder communication
• Review bias detection results before model deployments

Next Steps

Now that you understand the dashboard, explore these related guides: