AGENTIC AI: A COMPREHENSIVE FRAMEWORK FOR AUTONOMOUS DECISION-MAKING SYSTEMS IN ARTIFICIAL INTELLIGENCE

Abstract

Agentic AI represents a paradigm shift in artificial intelligence systems characterized by autonomous decision-making capabilities and adaptive problem-solving mechanisms. This article comprehensively analyzes Agentic AI, examining its foundational architecture, core capabilities, and cross-industry applications. The article explores how these systems transcend traditional AI frameworks through their ability to operate independently, set goals, and adapt to complex environments without constant human intervention. The article investigates the implementation of Agentic AI across multiple sectors, including robotics, healthcare, autonomous vehicles, and financial services, while addressing the technical challenges and ethical considerations inherent in autonomous systems. The article encompasses the critical aspects of accountability, bias mitigation, and human-AI collaboration, providing insights into the potential implications for future technological development. The findings suggest that Agentic AI's evolution necessitates a balanced approach between technological advancement and ethical governance, highlighting the importance of establishing robust frameworks for responsible deployment. This article contributes to the growing literature on autonomous AI systems and provides a foundation for understanding their role in shaping future technological landscapes.