DOE OSTI · 2516868
Application of Artificial Intelligence/Machine Learning to Operations Research
Abstract
This report examines the transformative impact of Artificial Intelligence (AI) and Machine Learning (ML) on operations research, private industry, and government sectors, highlighting their applications in automating processes, enhancing decision-making, and optimizing complex systems. AI/ML technologies have revolutionized industries through predictive maintenance, supply chain optimization, and autonomous systems, while also advancing public safety and defense operations. However, challenges such as data integrity, model transparency, and the need for human oversight persist, particularly in high-consequence environments. The report emphasizes the critical role of explainable AI (XAI) and human-computer interaction models like Human-in-the-Loop (HITL) and Human-on-the-Loop (HOTL) in fostering trust and accountability. Balancing automation with ethical responsibility and transparency is essential for the continued successful integration of AI/ML into operational and strategic decision-making frameworks.
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McKenzie, Taylor Klayges [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Abel, Kelsey Christina [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Flory, John Andrew [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Kelic, Andjelka [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Orr, Marilee Kay [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)], Reilly, Raymond Leo [Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)]. 2025-01-01. Application of Artificial Intelligence/Machine Learning to Operations Research. https://doi.org/10.2172/2516868
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