Bias Detection and Mitigation using WEAT score

What is Bias Detection and Mitigation using WEAT score ?

Bias Detection and Mitigation using WEAT score is an advanced API designed to identify and address bias in text. Utilizing the Word Embedding Association Test (WEAT), this tool evaluates the degree of bias in a given statement and provides a refined, neutral version. It is particularly effective for analyzing and mitigating biases in text data, ensuring fairness and objectivity.

Features

• Provides a bias detection score to quantify bias in text
• Offers a refined, neutral statement to mitigate detected bias
• Multiple bias detection templates for different contexts
• Supports bias analysis across various categories (e.g., gender, race, religion)
• Seamless integration with text analysis workflows for automated bias correction

How to use Bias Detection and Mitigation using WEAT score ?

1. Submit Text for Analysis: Send a POST request to the API with the text you want to analyze.
2. Receive Bias Score: The API returns a bias score indicating the level of bias in the text.
3. Get Refined Statement: Along with the score, receive a neutral, bias-mitigated version of the input text.
4. Integrate Results: Use the bias score and refined statement to improve the fairness and objectivity of your text data.

Frequently Asked Questions

What does the WEAT score represent?
The WEAT score measures the degree of bias in text by comparing word embeddings across predefined categories. A lower score indicates less bias, while a higher score suggests stronger bias.

Can I customize the bias categories?
Yes, the API allows you to specify custom categories for bias detection, enabling tailored analysis based on your specific use case.

Is the API suitable for real-time applications?
Yes, the API is optimized for real-time processing, making it ideal for applications that require instant bias detection and mitigation.