Getting Started with Fairmind
Get up and running with Fairmind in minutes. Learn the basics of bias detection and model governance.
Welcome to Fairmind
Fairmind is a comprehensive AI governance platform that helps you build trustworthy AI systems. This guide will walk you through the essential steps to get started.
Prerequisites
- Python 3.9 or higher
- Node.js 18 or higher
- Basic understanding of machine learning concepts
Installation
Follow these steps to install and configure Fairmind:
1. Clone the Repository
git clone https://github.com/your-org/fairmind-ethical-sandbox.git
cd fairmind-ethical-sandbox2. Install Dependencies
bun install
cd backend && pip install -r requirements.txt3. Start the Development Servers
bun run devYour First Bias Detection
Now that you have Fairmind running, let's perform your first bias detection analysis:
- Navigate to the bias detection section
- Upload your dataset or select a sample dataset
- Configure your bias detection parameters
- Run the analysis and review the results
Tip: Start with the sample datasets to understand how bias detection works before using your own data.
Next Steps
Now that you have the basics, explore these areas to deepen your understanding:
- Bias Detection Guide - Learn about different bias detection methods
- Model Provenance - Track your model lineage and create audit trails
- Monitoring & Analytics - Set up real-time monitoring for your models
- API Reference - Integrate Fairmind into your applications