The integration of Artificial Intelligence (AI) into Military Combat Decision-Making Processes (M... more The integration of Artificial Intelligence (AI) into Military Combat Decision-Making Processes (MCDMP) has been capturing the attention of numerous nations and international organisations. This thesis explores the complex realm of military decision-making, often marked by high-stakes situations and time constraints, which can lead to cognitive biases and heuristic-driven errors. Adding new technologies to processes in which critical decisions need to be made will require certain adjustments and approaches by the human operator. Due to the humanitarian impact of the decisions taken, AI integration must be done carefully, addressing potentially hindering factors to ensure that there is a responsible use of these technologies. Some of these surround the human-AI collaboration, specifically the acceptance of the technology, which can impact its usage and development, as suggested by the literature. Our research will employ a multifaceted qualitative approach, combining a review of academic literature, interviews with experts in military science with AI knowledge, and interviews with military personnel to provide a comprehensive understanding of the impressions held by specialists and military personnel regarding AI as a decision-support system (DSS). This study raises awareness of the importance of cognitive constructs in fostering human-AI collaboration and uncovers the current perspectives military combat decision-makers have on using AI technology to aid decision-making. We aim to contribute to the ongoing discussion regarding the challenges and opportunities of integrating AI as a DSS in military operations. We will offer insights that can facilitate a more informed and effective adoption of AI technology in high-stakes contexts. Through the Technology Acceptance Model (TAM) and the Technological Frames theory, we unveil perception, assumptions, expectations and trust as factors that impact the acceptance of AI as a DSS. Thus, enabling the enhancement of the effectiveness of military combat decision-making through the usage of AI tools responsibly.
The integration of Artificial Intelligence (AI) into Military Combat Decision-Making Processes (M... more The integration of Artificial Intelligence (AI) into Military Combat Decision-Making Processes (MCDMP) has been capturing the attention of numerous nations and international organisations. This thesis explores the complex realm of military decision-making, often marked by high-stakes situations and time constraints, which can lead to cognitive biases and heuristic-driven errors. Adding new technologies to processes in which critical decisions need to be made will require certain adjustments and approaches by the human operator. Due to the humanitarian impact of the decisions taken, AI integration must be done carefully, addressing potentially hindering factors to ensure that there is a responsible use of these technologies. Some of these surround the human-AI collaboration, specifically the acceptance of the technology, which can impact its usage and development, as suggested by the literature. Our research will employ a multifaceted qualitative approach, combining a review of academic literature, interviews with experts in military science with AI knowledge, and interviews with military personnel to provide a comprehensive understanding of the impressions held by specialists and military personnel regarding AI as a decision-support system (DSS). This study raises awareness of the importance of cognitive constructs in fostering human-AI collaboration and uncovers the current perspectives military combat decision-makers have on using AI technology to aid decision-making. We aim to contribute to the ongoing discussion regarding the challenges and opportunities of integrating AI as a DSS in military operations. We will offer insights that can facilitate a more informed and effective adoption of AI technology in high-stakes contexts. Through the Technology Acceptance Model (TAM) and the Technological Frames theory, we unveil perception, assumptions, expectations and trust as factors that impact the acceptance of AI as a DSS. Thus, enabling the enhancement of the effectiveness of military combat decision-making through the usage of AI tools responsibly.
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Papers by Mafalda Passos