ENHANCING TRUST IN INTELLIGENT SYSTEMS THROUGH EXPLAINABLE AI (XAI)

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Author: Dr. A. SOMASUNDARAM and MAHA S, NANDHA KISHORE D

Published On: 2026-03-06

Abstract

The integration of Artificial Intelligence (AI) has revolutionized decision- making in sectors ranging from healthcare and finance to cybersecurity. However, the rise of sophisticated "black-box" models— notably deep learning—has created a transparency gap, where high predictive accuracy comes at the cost of interpretability. Explainable Artificial Intelligence (XAI) serves as a vital bridge, providing human-centric insights into how models reach specific conclusions. This paper surveys the XAI landscape, categorizing core methodologies like LIME and SHAP, and exploring how transparency fosters user confidence.

Keywords: Explainable AI, Interpretability, Machine Learning Transparency,

Human-Centered AI

Keywords

Explainable AI Interpretability Machine Learning Transparency Human-Centered AI  

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2026

Research Article

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