Integrating Artificial Intelligence in Decision Support Systems: Benefits, Challenges, and Emerging Trends

Naman Goyal

Abstract: The integration of artificial intelligence (AI) into decision support systems (DSS) represents a transformative development in how organizations and industries process information, manage uncertainty, and improve outcomes. While DSS have been employed for decades to aid managerial and operational decision-making, the rise of AI techniques such as machine learning (ML), neural networks, and deep learning has significantly expanded their scope. This paper, based entirely on secondary research, explores the evolution of DSS, examines how AI enhances their capabilities, highlights applications across multiple sectors, and analyzes benefits, limitations, and ethical considerations. Case studies are presented to demonstrate tangible outcomes of AI-driven DSS adoption. Finally, the paper outlines future trends, emphasizing automation, explainability, and hybrid intelligence as critical to the continued development of AI-enhanced DSS.

Keywords: Decision Support Systems, Artificial Intelligence, Machine Learning, Explainable AI, Hybrid Intelligence, Predictive Analytics

How to Cite?: Naman Goyal, "Integrating Artificial Intelligence in Decision Support Systems: Benefits, Challenges, and Emerging Trends", Volume 14 Issue 8, August 2025, International Journal of Science and Research (IJSR), Pages: 1409-1412, https://www.ijsr.net/getabstract.php?paperid=SR25821181951, DOI: https://dx.doi.org/10.21275/SR25821181951