AI Bias Mitigation Tools: Ensuring Fairness in Intelligent Systems
As artificial intelligence continues to shape decisions in hiring, healthcare, education, finance, and law enforcement, the issue of AI bias has emerged as a critical challenge. Algorithms trained on historical or unbalanced datasets can unintentionally reinforce existing inequalities or stereotypes. To address this, organizations are increasingly turning to AI bias mitigation tools — software frameworks and methodologies designed to detect, measure, and reduce bias in AI and machine learning systems. AI bias is not simply a technical flaw; it is a socio-technical issue that requires both technological and ethical solutions. Bias can occur at multiple stages — data collection, model … Read more
