Demystifying AI Advances in Explainable AI (XAI)
This manuscript embarks on a comprehensive exploration of the strides made in XAI, meticulously dissecting its significance, fundamental methodologies, practical applications, hurdles, ethical dimensions, and trajectories for future advancement.
Abstract
In today’s dynamic landscape, the integration of artificial intelligence (AI) has revolutionized operations across diverse domains. However, the enigmatic nature of many AI algorithms presents formidable obstacles, spanning from a dearth of confidence to potential ethical quandaries. Enter Explainable AI (XAI), a burgeoning field that serves as a beacon of clarity, providing to augment transparency and comprehension. This manuscript embarks on a comprehensive exploration of the strides made in XAI, meticulously dissecting its significance, fundamental methodologies, practical applications, hurdles, ethical dimensions, and trajectories for future advancement. By delving into these multifaceted dimensions, this endeavor aims to illuminate the trajectory towards closing the chasm between intricate AI frameworks and human cognition.