Downloads · 30 days
0
AI-hiring
d-e-e-k-11/AI-hiring
AI-hiring is a machine learning model from d-e-e-k-11. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
A comprehensive dashboard for detecting and mitigating algorithmic bias in AI-driven recruitment.
Access
Public
Updated Feb 13, 2026
Repo size
—
Likes
0
Public
Repo makeup
Click a slice to open those files.
.csv97.1 KB · 75%
At a glance
- Access
- Public
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026
- SHA
- c9f05a2f
Model card
From the Hugging Face model README
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
- Created
- Feb 13, 2026
- Updated
- Feb 13, 2026