Agentic AI Systems: Evolution, Efficiency, and Ethical Implementation
DOI:
https://doi.org/10.64229/gq9z0p28Keywords:
Agentic AI, Multi-agent Collaboration, Efficiency Optimization, AI Safety, Knowledge DistillationAbstract
Agentic AI represents a major paradigm shift from passive language models to active systems capable of autonomous decision-making and task execution. This comprehensive review synthesizes recent literature from 2023-2025, examining three critical dimensions that define the future of artificial intelligence: architectural innovations enabling collaborative reasoning between multiple agents, optimization techniques for achieving computational efficiency in resource-constrained environments, and ethical frameworks for ensuring safe deployment in real-world applications. Through systematic analysis of peer-reviewed literature and recent preprints, key findings reveal that multi-agent debate systems demonstrate significant improvements in reasoning accuracy, with collaborative frameworks showing enhanced problem-solving capabilities across diverse domains. However, critical challenges persist in safety alignment mechanisms, environmental sustainability concerns, and the development of standardized evaluation metrics for complex agentic behaviors. The analysis identifies hybrid architectures combining collaborative reasoning with knowledge distillation as the most promising direction for future research, particularly for applications requiring both high accuracy and computational efficiency. This review provides researchers and practitioners with a consolidated framework for understanding current developments and identifying future research directions in agentic systems, highlighting the urgent need for interdisciplinary approaches to address technical, ethical, and environmental challenges in this rapidly evolving field.
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Copyright (c) 2025 K. A. S. N. Kodikara (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
