Algorethics - Certification API

Certification API Guide

The Algorethics Certification API enables you to obtain certification for your AI projects after they have been validated for ethical compliance. Below is a step-by-step guide on how to use the API, including Python code examples.

Step-by-Step Implementation

1. Check Project Compliance

The Algorethics library determines if a project meets ethical standards. Once a project is deemed ethical, prompt the user for further actions.

2. Prompt User for Confirmation

Ask the user if they would like to display the Algorethics compliance logo on their project. Ensure the prompt is clear and provides the user with an option to accept or decline.

3. Collect Project Details

If the user agrees to display the logo, collect the following details:

• Project Name
• Project URL
• Developer Contact Email

4. Make API Call to PHP Web Service

Send the collected details to the PHP web service to register the project. The web service will return the logo URL and HTML embed code.

The API endpoint for the PHP web service is: https://algorethics.info/algorethics_cert_gen.php

5. Display HTML Code

Provide the user with the HTML code necessary to embed the Algorethics compliance logo on their project. Ensure the code is displayed in a user-friendly format for easy copying and pasting.

Python Example: Complete Code

import requests

def check_project_compliance():
    # Placeholder function to determine if the project is ethical
    # Replace this with the actual compliance checking logic
    return True

def get_user_input(prompt):
    return input(prompt).strip()

def main():
    # Check if the project is ethical
    is_ethical = check_project_compliance()
    
    if is_ethical:
        print("Your project is found to be ethical.")
        display_logo = get_user_input("Do you want to display that your project is Algorethics compliant and certified? (Type Yes to proceed): ")
        
        if display_logo.lower() == 'yes':
            # Collect project details from the user
            project_name = get_user_input("Enter your AI Project Name: ")
            project_url = get_user_input("Enter your AI Project URL: ")
            developer_email = get_user_input("Enter the Developer Contact Email: ")
            
            # API endpoint
            url = "https://algorethics.info/algorethics_cert_gen.php"
            
            # Data to be sent in the POST request
            data = {
                'project_name': project_name,
                'project_url': project_url,
                'developer_email': developer_email
            }
            
            # Make the API call
            response = requests.post(url, data=data)
            
            # Handle the response
            if response.status_code == 200:
                result = response.json()
                if result['status'] == 'success':
                    print("Project registered successfully.")
                    print("Project ID:", result['project_id'])
                    print("Logo URL:", result['logo_url'])
                    print("HTML Code to embed logo:", result['html_code'])
                else:
                    print("Error:", result['message'])
            else:
                print("Failed to connect to the web service.")
        else:
            print("Logo display declined by user.")
    else:
        print("Project is not ethical.")

if __name__ == "__main__":
    main()
                

Explanation

Compliance Check

The check_project_compliance function simulates the compliance check. Replace this function with your actual logic to determine if the project meets ethical standards.

User Confirmation

The script prompts the user to confirm if they want to display the Algorethics compliance logo on their project.

Collecting Details

If the user agrees, the script collects the project name, URL, and developer email.

Making the API Call

The script sends a POST request to the PHP web service with the collected project details. It processes the response, displaying the project ID, logo URL, and HTML embed code if successful.

Handling the Response

The response from the web service is expected to be in JSON format, containing the status of the request, project ID, logo URL, and HTML code. Adjust the response handling as needed based on your API implementation.