Examining the Evolution of Artificial Intelligence Technologies and Their Impact on Decision-Making Processes in Complex Systems
Keywords:
Digital Case Management, Holistic Client Care, Multidisciplinary Social Services, Information Systems, Technology Adoption, Client-Centred CareAbstract
The evolution of Artificial Intelligence (AI) technologies has profoundly influenced decision-making processes in complex systems across industries. This study examines the historical development of AI, evaluates its integration into complex systems, and analyzes its implications for decision-making as of 2022. A comprehensive literature review highlights pivotal advancements and persistent challenges. Utilizing a qualitative-quantitative mixed method, this research synthesizes data from scholarly sources, case studies, and statistical reports. Key findings indicate that while AI significantly enhances efficiency and predictive accuracy, it also introduces new layers of complexity, ethical dilemmas, and system dependencies. The significance of this study lies in offering a nuanced understanding of how AI reshapes cognitive and organizational frameworks, enabling stakeholders to navigate the benefits and constraints more effectively. Future research must address gaps in AI transparency, interpretability, and accountability to optimize decision-making in increasingly dynamic environments.
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