Bias Detection in AI-Assisted Hiring Systems
A comprehensive dashboard for detecting and mitigating algorithmic bias in AI-driven recruitment.
Features
- Disparate Impact Analysis: Tracks selection rates across Gender and Race.
- Intersectional Equity Audit: Analyzes bias at the junction of multiple demographic identities.
- Bias Simulation: Predicts hiring outcomes for custom candidate profiles.
- Fairness Mitigation: Integrated "Fair-Mask™" mitigation strategy using dynamic thresholding.
Stack
- Backend: Flask, Scikit-learn, Pandas
- Frontend: Vanilla CSS (Glassmorphism), Chart.js
- Model: Logistic Regression for hiring outcome simulation.
How to Run
- Install dependencies:
pip install -r requirements.txt - Train the model:
python train_model.py - Run the application:
python app.py - Access the dashboard at
http://127.0.0.1:5001