Agentic AI Systems: Opportunities, Challenges, and Trustworthiness

Agentic AI Systems represent a significant ad-vancement in artificial intelligence by enabling systems to autonomously perceive, decide, and act in complex environments. This review explores the definition, scope, advantages, challenges, opportunities, and trustworthiness of agentic AI in organizational and societal contexts. Agentic AI offers higher efficiency, scalability, and improved decision making which enables the organizations to streamline operations and enhance their productivity. Despite these advancements Agentic AI has its own challenges such as; safety concerns, accountability, reliability issues and potential misuse remain critical areas for consideration. This paper provides a comprehensive discussion of agentic AI's impact in emphasizing both its transformative potential and the need for continuous oversight and refinement.

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Publication Details

Published
2025-05-29
DOI
https://doi.org/10.1109/eit64391.2025.11103638
Citations
2
Primary Topic
Reinforcement Learning in Robotics
Type
article
Field-Weighted Citation Impact
4.96
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article

Agentic AI Systems: Opportunities, Challenges, and Trustworthiness

Gahangir Hossain, Tayiba Raheem
2 citations
Reinforcement Learning in Robotics
4.96
article

Agentic AI Systems: Opportunities, Challenges, and Trustworthiness

Gahangir Hossain, Tayiba Raheem
article en
2 citations

Abstract

Agentic AI Systems represent a significant ad-vancement in artificial intelligence by enabling systems to autonomously perceive, decide, and act in complex environments. This review explores the definition, scope, advantages, challenges, opportunities, and trustworthiness of agentic AI in organizational and societal contexts. Agentic AI offers higher efficiency, scalability, and improved decision making which enables the organizations to streamline operations and enhance their productivity. Despite these advancements Agentic AI has its own challenges such as; safety concerns, accountability, reliability issues and potential misuse remain critical areas for consideration. This paper provides a comprehensive discussion of agentic AI's impact in emphasizing both its transformative potential and the need for continuous oversight and refinement.

University of North Texas (US)
Openalex Percentile: Top 5%
Reinforcement Learning in Robotics
4.96
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