Ethical AI: Mitigating Bias in Machine Learning Models
Published: 7/17/2026
Written by: Nikhil B
The Danger of Biased Data
When executing AI Model Development for HR or lending, biased training data can lead to discriminatory AI decisions. Data scientists must actively balance datasets to ensure fairness.
Frequently Asked Questions
We use Fairness Indicators and SHAP values to understand why a model made a specific decision across different demographic slices.
Nikhil
Founder & CEO @ Gemora Tech
With extensive experience in enterprise software architecture, AI models, and immersive game development, Nikhil leads Gemora Tech in delivering scalable digital transformation solutions for clients worldwide.