A major finding of this thesis is that AI-DSS do not need to make the final decision themselves in order to influence military decision-making, and can already shape the process by influencing what information is presented and how it is presented.
Visions of the future of military AI are evergreen, but the reality of military automation is more complicated. Information system performance is often more about the quality of people and organizations than the sophistication of technology. This is especially true of machine learning, which lowers the costs of predict...
J. Lindsay· Responsible Use of AI in Mil...· 0 citations
A systematic literature review analyzing 111 papers from scientific databases on integrating AI with MCDM/A methods offers both a conceptual consolidation for scholars and a structured foundation for the design of next-generation, human-centered intelligent decision support systems (IDSS).
Bruno Cicciú, E. Frej, A. D. de Almeida· IMA Journal of Management Ma...· 1 citation
This article argues that artificial intelligence transforms military decision-making by reshaping the epistemic and moral conditions under which judgment is exercised. In contemporary military practice AI-enabled decision-support systems increasingly affect how information is filtered, ranked and acted upon in environm...
In an attempt to gain the decision advantage, military commanders in the contemporary decision space are facing increasing pressure to conceptualize information at speed. With the rapid proliferation of AI, the tech industry has pivoted to capitalize on the opportunity, and growing demand, to support commanders in th...
Colm Fahy, Nick McDonald, Kevin A. Keenan et al.· The AI Magazine· 0 citations
Artificial intelligence is often discussed as an autonomous capability or a substitute for human intellectual work. This contribution proposes a different unit of analysis: the scientist–AI system. The central question is not what AI can accomplish independently, but what becomes possible when it is used by a domain ex...
Laboratory of Military Ecotones· Pollution and Diseases· 0 citations
Discussions of artificial intelligence in science ask who is responsible when AI produces an incorrect result. This question is vague unless it identifies the object of responsibility, evidence, decisions, and cognitive process. Public criticism often isolates an erroneous output while omitting the question, informatio...
Laboratory of Information Systems· Pollution and Diseases· 0 citations
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