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Future Warfare: Navigating AI Integration in Military Combat Decision-Making

Passos, Mafalda LU and Fernandes Meleiro, Margarida Raquel LU (2024) MGTN59 20241
Department of Business Administration
Abstract
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.
... (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. (Less)
Abstract (Portuguese)
A integração da Inteligência Artificial (IA) nos Processos de Tomada de Decisão em
Combate Militar (MCDMP) tem captado a atenção de inúmeras nações e organizações
internacionais. Esta tese explora o complexo domínio da tomada de decisão militar,
frequentemente marcado por situações de alto risco e limitações de tempo, que podem levar a
enviesamentos cognitivos e erros impulsionados por heurísticas. A adição de novas
tecnologias a processos nos quais decisões críticas precisam ser tomadas exigirá certos
ajustes e abordagens por parte do operador humano. Devido ao impacto humanitário das
decisões tomadas, a integração da IA deve ser feita com cuidado, abordando fatores que
possam dificultar o uso responsável destas... (More)
A integração da Inteligência Artificial (IA) nos Processos de Tomada de Decisão em
Combate Militar (MCDMP) tem captado a atenção de inúmeras nações e organizações
internacionais. Esta tese explora o complexo domínio da tomada de decisão militar,
frequentemente marcado por situações de alto risco e limitações de tempo, que podem levar a
enviesamentos cognitivos e erros impulsionados por heurísticas. A adição de novas
tecnologias a processos nos quais decisões críticas precisam ser tomadas exigirá certos
ajustes e abordagens por parte do operador humano. Devido ao impacto humanitário das
decisões tomadas, a integração da IA deve ser feita com cuidado, abordando fatores que
possam dificultar o uso responsável destas tecnologias. Alguns desses fatores envolvem a
colaboração Humano-IA, especificamente a aceitação da tecnologia, que poderá influenciar
seu uso e desenvolvimento, como sugerido pela literatura. A nossa pesquisa empregará uma
abordagem qualitativa multifacetada, combinando uma revisão da literatura académica,
entrevistas com especialistas em ciência militar com conhecimento em IA e entrevistas com
militares para fornecer uma compreensão abrangente das impressões mantidas por
especialistas e militares sobre a IA como um sistema de suporte à decisão (DSS).
Este estudo destaca a importância dos construtos cognitivos na promoção da colaboração
Humano-IA e revela as perspectivas atuais que os decisores de combate militar têm sobre o
uso da tecnologia de IA para auxiliar na tomada de decisões. O nosso objetivo é contribuir
para a discussão contínua sobre os desafios e oportunidades de integrar a IA como um DSS
em operações militares. Oferecemos reflexões que podem facilitar uma adoção mais
informada e eficaz da tecnologia de IA em contextos de alto risco. Através do Technology
Acceptance Model (TAM) e da Technological Frames theory, revelamos a percepção,
suposições, expectativas e confiança como fatores que impactam a aceitação da IA como um
DSS, permitindo assim a melhoria da eficácia da tomada de decisão em combate militar
através do uso responsável das ferramentas de IA (Less)
Please use this url to cite or link to this publication:
author
Passos, Mafalda LU and Fernandes Meleiro, Margarida Raquel LU
supervisor
organization
course
MGTN59 20241
year
type
H1 - Master's Degree (One Year)
subject
language
English
id
9157493
date added to LUP
2024-06-24 13:33:40
date last changed
2024-06-26 14:32:31
@misc{9157493,
  abstract     = {{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.}},
  author       = {{Passos, Mafalda and Fernandes Meleiro, Margarida Raquel}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Future Warfare: Navigating AI Integration in Military Combat Decision-Making}},
  year         = {{2024}},
}