The AI Ethics Framework is a Python script designed to assist in evaluating the ethical implications of AI systems. It provides a systematic approach to assess the adherence of AI algorithms, data usage, and decision-making processes to ethical principles and regulatory standards.

• Ethical Implications Evaluation: The framework evaluates the ethical implications of an AI system based on predefined criteria such as fairness, transparency, and accountability.
• Customizable Input: Users can customize input parameters to reflect specific details about their AI system, including algorithms used, data usage practices, and decision-making processes.
• Evaluation Report Generation: Upon evaluation, the framework generates a comprehensive report summarizing the ethical implications of the AI system, highlighting areas of compliance and non-compliance.

1. Clone Repository: Clone the repository to your local machine using Git: git clone https://github.com/your_username/ai_ethics_framework.git
2. Navigate to Directory: Change directory to the cloned repository:
3. Modify Input Parameters: Open the ai_ethics_framework.py file and modify the ai_system_details dictionary with relevant details about your AI system.
4. Run Script: Execute the Python script to evaluate the ethical implications of the AI system:
5. Review Evaluation Report:

This Python script implements a simple AI Ethics Framework for assessing the ethical implications of AI systems. It evaluates the system's adherence to ethical principles such as fairness, transparency, and accountability.

1. Clone the repository to your local machine.
2. Ensure you have Python installed.
3. Modify the ai_system_details dictionary in ai_ethics_framework.py with relevant details about your AI system.
4. Run the script using Python:

   python ai_ethics_framework.py
   

The script will generate a report summarizing the evaluation results, indicating whether the AI system meets ethical standards in various aspects.

Contributions to enhance the framework are welcome! Feel free to submit pull requests with improvements or additional features.