🌐 XAI-Bi-factual-Contrastive-Explanations - Understand AI Decisions Easily

📚 Description

This project provides an Explainable AI (XAI) system focused on bi-factual contrastive explanations. It includes algorithmic optimizations and a user-friendly graphical interface called CausaLytics. This tool helps users better understand AI models by showing how different factors influence decisions.

🚀 Getting Started

To use XAI-Bi-factual-Contrastive-Explanations, follow these simple steps:

1. Download the Application

   • Visit the Releases page to download the application.

2. Install the Application

   • Locate the downloaded file in your Downloads folder or wherever you saved it.
   • Double-click the file to start the installation process.
   • Follow the on-screen prompts to complete the installation.

3. Run the Application

   • After installation, find the application icon on your desktop or in your applications menu.
   • Double-click the icon to open the application.

📥 Download & Install

To get started with the software, click the button below to download the latest version.

System Requirements

• Operating System: Windows 10 or later, macOS, Linux
• RAM: At least 4 GB
• Storage: Minimum 200 MB of free disk space
• Additional Software: Java Runtime Environment (JRE) installed on your computer

🎨 Features

• Bi-Factual Explanations: Clearly show how changes in input affect AI decisions.
• User-Friendly Interface: Navigate easily with the CausaLytics graphical interface.
• Algorithmic Optimizations: Experience fast processing for larger datasets.
• Visualization Tools: Display causal graphs to understand relationships clearly.

❓ Frequently Asked Questions

How does this application help with AI explanations?

The application uses bi-factual methods to illustrate how different factors influence decisions made by AI models. This approach can simplify complex models into understandable insights.

Is there any support available?

Yes, you can visit our Issues page on GitHub for support. We are glad to assist you with your questions or concerns.

✔️ Contributing

If you want to contribute to this project, feel free to check the guidelines provided in the repository. We welcome everyone to help improve this tool.

🔗 Related Topics

This repository focuses on key areas such as:

• Casual Inference
• Causal Graphs
• Contrastive Explanations
• Explainable AI (XAI)

Feel free to explore these concepts further to enhance your understanding of the project.

📑 License

This project is licensed under the MIT License. For more details, please refer to the LICENSE file in the repository.

Remember, your feedback is valuable. Don't hesitate to share your thoughts after trying out the application!