Citation:

Vishnu Lakkamraju, 2025. "Agentic AI in Human-AI Collaboration Frameworks", ESP Journal of Engineering & Technology Advancements  5(2): 114-129.

Abstract:

The quick expansion of artificial intelligence (AI) has produced systems that go beyond basic automation and into sectors where human and artificial intelligence interaction is increasingly crucial. The evolution of "agentic artificial intelligence," in which AI systems have some degree of autonomy in interaction and decision-making, largely drives this transformation. Agentic artificial intelligence is the capacity of artificial intelligence to both pursue goals freely within pre-defined systems and keep the capability to adapt and learn from its environment. This paper explores Agentic AI's contribution to human-AI collaboration systems by looking at how Agentic AI might augment human abilities, accelerate decision-making, and increase productivity throughout numerous sectors. Beyond the idea of artificial intelligence as a tool or assistant, the idea of human-AI collaboration shows AI as a collaborative agent actively participating in the decision-making process, changing its behaviour and reacting to the needs of the human operator. In fields like healthcare, banking, creative industries, and autonomous systems, agentic artificial intelligence has shown potential to handle demanding tasks and interact in ways that imitate human decision-making processes. Still, putting such technologies into use is rather challenging. These include moral issues like autonomy, accountability for choices, privacy, and the risk of biassed artificial intelligence outputs. The paper looks at these challenges and their effects on the widespread acceptability of Agentic artificial intelligence, thereby implying remedies. This helps the study underline the need of well defined ethical rules directing the development and use of Agentic artificial intelligence systems. Furthermore underlined is the requirement of using a human-centered strategy in the design of artificial intelligence systems, one that encourages responsibility and confidence and thus maximises the prospective benefits of artificial intelligence collaboration. As we develop agentic artificial intelligence is probably going to change industries, encourage innovation, and redefine human-AI interaction limitations. Knowing its possibilities, limitations, and ethical problems enables one to grasp how Agentic AI may be used to improve human performance and AI outputs, hence generating a more dynamic and symbiotic future for artificial intelligence systems.

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Keywords:

Agentic AI, Human-AI Collaboration, Autonomy, Machine Learning, Decision-Making, Ethical AI, Organizational Efficiency, Cognitive Systems, AI Ethics.