Quickstart Code ExamplesΒΆ

  1. Text Bias Analysis

    from fairsenseai.analysis.bias import analyze_text_for_bias

# Example input text to analyze for bias
text_input = "Men are naturally better at decision-making, while women excel at emotional tasks."

# Analyze the text for bias
highlighted_text, detailed_analysis = analyze_text_for_bias(text_input, use_summarizer=True)

# Print the analysis results
print("Highlighted Text:", highlighted_text)
print("Detailed Analysis:", detailed_analysis)

  2. Image Bias Analysis

    import requests
from PIL import Image
from io import BytesIO
from IPython.display import display, HTML
from fairsenseai.analysis.bias import analyze_image_for_bias

# URL of the image to analyze.
image_url = "https://ichef.bbci.co.uk/news/1536/cpsprodpb/BB60/production/_115786974_d6bbf591-ea18-46b9-821b-87b8f8f6006c.jpg"

# Fetch and load the image from the URL.
response = requests.get(image_url)
if response.status_code == 200:
   image = Image.open(BytesIO(response.content))
   small_image = image.copy()
   small_image.thumbnail((200, 200))

   # Display the resized image and analyze for bias.
   print("Original Image (Resized):")
   display(small_image)
   highlighted_caption, image_analysis = analyze_image_for_bias(image, use_summarizer=True)

   # Print and display analysis results.
   print("\nHighlighted Caption:\n", highlighted_caption)
   print("\nImage Analysis:\n", image_analysis)
   if highlighted_caption:
      display(HTML(highlighted_caption))
   else:
      print(f"Failed to fetch the image. Status code: {response.status_code}")

  3. AI Risk Management

    from fairsenseai.analysis.risk_assessment import analyze_text_for_risks

# Get risk assessment and mitigation strategies on the given scenario
scenario = "We're developing a facial recognition system for public spaces"
highlighted_risks, csv_path = analyze_text_for_risks(
   scenario,
   top_k_risk=3,
   top_k_ai_rmf=2
   )

# Print the result and saved CSV path
print("Risks:", highlighted_risks)
print(f"Results saved to: {csv_path}")

  4. Launch the Interactive Application

    from fairsenseai.app import start_server

# Launch the Gradio application (will open in the browser)
start_server()