ethos-ai-guardian 0.1.0

Ethos AI Guardian: Automated bias detection and mitigation for machine learning models.

Ethos AI Guardian

Ethos AI Guardian is a powerful, automated bias detection and mitigation toolkit for machine learning models. Built specifically for data scientists, it provides a seamless pipeline to identify historical, confounding, and selection biases in your datasets, and mitigates them using state-of-the-art techniques.

Features

• Automated Bias Detection: Quickly scan datasets for Statistical Parity, Disparate Impact, and Equal Opportunity differences.
• Deep Contextual Debiasing: Pro-level Tabular Transformers to understand contextual bias in categorical and numerical features.
• Adversarial Mitigation: Uses an adversarial debiasing architecture to enforce fairness without sacrificing predictive power.
• Pipelines: Easy-to-use Scikit-Learn style pipelines for integrating into your existing workflow.

Installation

You can install ethos_ai_guardian using pip:

pip install ethos_ai_guardian

Quick Start

import pandas as pd
from ethos_ai_guardian import AntiBiasPipeline

# Load your dataset
df = pd.read_csv("your_data.csv")

# Initialize the pipeline
pipeline = AntiBiasPipeline(model_type='logistic')

# Run automated bias mitigation
results = pipeline.train_and_evaluate(
    df=df, 
    features=['age', 'income', 'education'], 
    sensitive_attr='gender', 
    target_col='approved'
)

print(results["fairness_metrics"])

License

MIT License