[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-124458-en":3,"doc-seo-124458-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},124458,1099514068365,"Aurelia","https://ap-avatar.wpscdn.com/avatar/10000253d8d9f28188e?_k=1776742907772140068",8,"Research & Report","Integrating Artificial Intelligence and Machine Learning Technologies into Common Operating Picture and Course of Action Development","The monograph examines how artificial intelligence and machine learning capabilities can be integrated into the Common Operating Picture and incorporated into course of action development processes. It frames integration as an analytical and operational workflow challenge, tying AI/ML-enabled data processing to planning, coordination, and decision support needs. The study situates the work within strategic research areas such as threat analysis, forecasting, applied operational art, and enterprise innovation, providing an approach intended to inform defense planning and strategic security decisions.","US Army War College  \nUSAWC Press  \nBooks, Monographs & Collaborative Studies  \n7-15-2025  \nIntegrating Artificial Intelligence and Machine Learning Technologies into Common Operating Picture and Course of Action Development  \nC. Anthony Pfaff  \nChristopher John Hickey  \nFollow this and additional works at: [https://press.armywarcollege.edu/monographs](https://press.armywarcollege.edu/monographs)  \n Part of the Artificial Intelligence and Robotics Commons, Defense and Security Studies Commons, Military and Veterans Studies Commons, Science and Technology Policy Commons, and the Science and Technology Studies Commons  \nRecommended Citation  \nC. Anthony Pfaff and Christopher John Hickey, Integrating Artificial Intelligence and Machine Learning Technologies into Common Operating Picture and Course of Action Development (Carlisle Barracks, PA: US Army War College Press, 2025),  \n[https://press.armywarcollege.edu/monographs/980](https://press.armywarcollege.edu/monographs/980)  \nThis Book is brought to you for free and open access by USAWC Press. It has been accepted for inclusion in Books, Monographs & Collaborative Studies by an authorized administrator of USAWC Press.  \nC.  \nINTEGRATED RESEARCH PROJECT  \nIntegrating ARTIFICIAL INTELLIGENCE and Machine  \nLearning Technologies  \ninto Common Operating Picture and Course of Action Development  \nAnthony Pfaff and Christopher John Hickey Principal Investigators  \nMadeline Bodoh, Steven C. Chetcuti, Sapriya Childs, Brennan Deveraux, Isaac L. Henderson, Angela L. Hughes, Pamela Lovasz, and Alfred Wong  \nInvestigators  \nSTRATEGIC STUDIES INSTITUTE  \nUS ARMY WAR COLLEGE  \n“The Army’s Think Tank”  \nThe Strategic Studies Institute (SSI) publishes national security and strategic research and analysis to answer strategic security questions, inform strategic security decisions, and build networks of strategic security expertise in support of the Army and the Joint Force.  \nSSI serves as a valuable source of ideas, criticism, innovative approaches, and independent analyses as well as a venue to expose external audiences to the US Army’s contributions to the nation. It acts as a bridge to the broader international community of security scholars and practitioners.  \nSSI is composed of civilian research professors, uniformed military officers, and a professional support staff, all with extensive credentials and experience. SSI’s Strategic Research and Analysis Department focuses on global, transregional, and functional security issues. Its Strategic Engagement Program creates and sustains partnerships with strategic analysts around the world, including the foremost thinkers in the field of security and military strategy. In most years, about half ofSSI’s publications are written by these external partners.  \nResearch Focus Arenas  \nGeostrategic net assessment—regional and transregional threat analysis; drivers of adversary conduct; interoperability between partners, allied, IA, commercial, and Joint organizations  \nGeostrategic forecasting—geopolitics, geoeconomics, technological development, and disruption and innovation  \nApplied strategic art—warfare and war-fighting functions, Joint and multinational campaigning, and spectrum of conflict  \nIndustrial/enterprise management, leadership, and innovation—ethics and the profession, organizational normsand effectiveness, transformational change, talent development and management, and force mobilization and modernization  \nIntegrating Artificial Intelligence and Machine Learning Technologies into Common Operating Picture and Course of Action Development  \nC. Anthony Pfaff and Christopher John Hickey  \nPrincipal Investigators  \nMadeline Bodoh, Steven C. Chetcuti, Sapriya Childs, Brennan Deveraux, Isaac L. Henderson, Angela L. Hughes, Pamela Lovasz, and Alfred Wong  \nInvestigators  \nJuly 2025  \nStrategic Studies Institute  \nThe views expressed in this publication are those of the authors and do not necessarily reflect the official policy or position of ","cbCaiupqmTD4jswR","https://ap.wps.com/l/cbCaiupqmTD4jswR","pdf",6575585,1,141,"English","en",105,"# Foreword\n# Executive Summary\n# Introduction\n# Chapter 1 - Technical Requirements for Integrating Artificial Intelligence into Planning\n## Planning Overview","[{\"question\":\"What is the document’s main topic?\",\"answer\":\"It focuses on integrating artificial intelligence and machine learning technologies into the Common Operating Picture and into course of action development.\"},{\"question\":\"How does the monograph connect AI/ML to planning processes?\",\"answer\":\"It emphasizes technical requirements for integration and links AI/ML-enabled capabilities to planning and decision-support needs within the operational workflow.\"},{\"question\":\"Which research areas does the publication highlight as context?\",\"answer\":\"It references geostrategic net assessment, geostrategic forecasting, applied strategic art, and industrial/enterprise management, leadership, and innovation.\"}]","Integrating Artificial Intelligence and Machine Learning Technologies into Common Operating Picture and Course of Action Development | 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