Managing Bias and Fairness in Machine Learning Models
In today's data-driven world, machine learning (ML) models play a pivotal role across industries—from healthcare diagnostics and financial decision-making to hiring systems and autonomous vehicles. However, the rapid adoption of these technologies has raised concerns about bias and fairness. Ensuring that machine learning models operate equitably and without prejudice is not merely a technical challenge; it is an ethical imperative.