Journal article 186 views 8 downloads
AI Agents and Agentic Systems: A Multi-Expert Analysis
,
Mazen Shawosh,
Mousa Ahmed Albashrawi,
Il Jeon,
Vincent Dutot,
Mandanna Appanderanda,
Tom Crick ,
Rahul De’,
Mark Fenwick,
Senali Madugoda Gunaratnege,
Paulius Jurcys,
Arpan Kumar Kar,
Nir Kshetri,
Keyao Li,
Sashah Mutasa,
Spyridon Samothrakis,
Michael Wade,
Paul Walton
Journal of Computer Information Systems, Pages: 1 - 29
Swansea University Authors:
Yogesh Dwivedi, Tegwen Malik , Tom Crick
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DOI (Published version): 10.1080/08874417.2025.2483832
Abstract
The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention. This paper, drawing on multi-expert perspectives, examines the potenti...
| Published in: | Journal of Computer Information Systems |
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| ISSN: | 0887-4417 2380-2057 |
| Published: |
Informa UK Limited
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69139 |
| Abstract: |
The emergence of AI agents and agentic systems represents a significant milestone in artificial intelligence, enabling autonomous systems to operate, learn, and collaborate in complex environments with minimal human intervention. This paper, drawing on multi-expert perspectives, examines the potential of AI agents and agentic systems to reshape industries by decentralizing decision-making, redefining organizational structures, and enhancing cross-functional collaboration. Specific applications include healthcare systems capable of creating adaptive treatment plans, supply chain agents that predict and address disruptions in real-time, and business process automation that reallocates tasks from humans to AI, improving efficiency and innovation. However, the integration of these systems raises critical challenges, including issues of attribution and shared accountability in decision-making, compatibility with legacy systems, and addressing biases in AI-driven processes. The paper concludes that while agentic systems hold immense promise, robust governance frameworks, cross-industry collaboration, and interdisciplinary research into ethical design are essential. Future research should explore adaptive workforce reskilling strategies, transparent accountability mechanisms, and energy-efficient deployment models to ensure ethical and scalable implementation. |
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| Keywords: |
AI agents; agentic AI; agentic system; autonomous agent; cognitive agent; intelligent agent; OpenAI operator; smart agent; virtual assistant |
| College: |
Faculty of Humanities and Social Sciences |
| Start Page: |
1 |
| End Page: |
29 |