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Agentic AI: A Step Toward Responsible and Autonomous Artificial Intelligence
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
Abstract
As artificial intelligence continues to evolve, the pursuit of systems that go beyond reactive or tool-like behavior has gained momentum. This paper introduces the concept of agentic AI systems that exhibit autonomy, contextual understanding, proactive goal-setting, and ethical decision-making. We present a comprehensive literature review, evaluate existing AI paradigms, and propose a novel architecture for constructing truly agentic AI systems. The architecture includes components such as an Agency Core Module, Persistent Memory, Ethical Reasoning Engine, Contextual Awareness, and Communication Interface. Experimental results demonstrate the superiority of this model in adaptability, collaboration, and ethical judgment when compared with traditional AI systems. The findings suggest that agentic AI could revolutionize the way intelligent systems interact with complex environments and align with human values. We conclude by outlining future research directions and emphasizing the importance of responsible development.
Keywords
Agentic AI, Artificial Intelligence, Ethical Reasoning, Autonomous Systems, Cognitive Architecture, AI Agency, Human-AI Interaction
How to cite this paper
@article{1709768,
author = {Nazeer Shaik, Dr. P. Chitralingappa, Dr. C. Krishna Priya},
title = {Agentic AI: A Step Toward Responsible and Autonomous Artificial Intelligence},
journal = {Iconic Research And Engineering Journals},
year = {2025},
volume = {9},
number = {1},
pages = {1224-1227},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709768.pdf},
abstract = {As artificial intelligence continues to evolve, the pursuit of systems that go beyond reactive or tool-like behavior has gained momentum. This paper introduces the concept of agentic AI systems that exhibit autonomy, contextual understanding, proactive goal-setting, and ethical decision-making. We present a comprehensive literature review, evaluate existing AI paradigms, and propose a novel architecture for constructing truly agentic AI systems. The architecture includes components such as an Agency Core Module, Persistent Memory, Ethical Reasoning Engine, Contextual Awareness, and Communication Interface. Experimental results demonstrate the superiority of this model in adaptability, collaboration, and ethical judgment when compared with traditional AI systems. The findings suggest that agentic AI could revolutionize the way intelligent systems interact with complex environments and align with human values. We conclude by outlining future research directions and emphasizing the importance of responsible development.},
keywords = {Agentic AI, Artificial Intelligence, Ethical Reasoning, Autonomous Systems, Cognitive Architecture, AI Agency, Human-AI Interaction},
month = {July},
}