AI weapon systems in future war operations; strategy, operations and tactics

Ploumis, Michail

doi:10.1080/01495933.2021.2017739

Cited by 9 publications

(3 citation statements)

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Section: Ai Robotics and Smart Devicesmentioning

confidence: 99%

“…This is largely due to the increase in military investment in AI research advances[58]. It highlights the use of drones and the IoT, to such an extent that military drones in some cases are mixed with commercial ones[59], and how AI influences military strategy[60].The electroencephalogram is related to data processing[61], although its presence in the military world is still of little significance.ML algorithms collaborate with cybersecurity and, in turn, can be affected by cyberattacks, so there are more and more studies on them[62]. Technological security and protecting data are vital in the military environment.The need for algorithms in ML related to the military world is a fact and is present in the interpretation of the data obtained[63].Unmanned aerial vehicles are a reality and include object detection by means of algorithms; some complex ones are also using deep learning[64].The model theme, supported primarily by design, is an emerging area that is beginning to have value with other areas, such as trauma[51], within this category.The military experience provides a large amount of data, big data, which need to be analyzed by ML and is already being completed in many cases for medical purposes[65].…”

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Military Applications of Machine Learning: A Bibliometric Perspective

2022

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The military environment generates a large amount of data of great importance, which makes necessary the use of machine learning for its processing. Its ability to learn and predict possible scenarios by analyzing the huge volume of information generated provides automatic learning and decision support. This paper aims to present a model of a machine learning architecture applied to a military organization, carried out and supported by a bibliometric study applied to an architecture model of a nonmilitary organization. For this purpose, a bibliometric analysis up to the year 2021 was carried out, making a strategic diagram and interpreting the results. The information used has been extracted from one of the main databases widely accepted by the scientific community, ISI WoS. No direct military sources were used. This work is divided into five parts: the study of previous research related to machine learning in the military world; the explanation of our research methodology using the SciMat, Excel and VosViewer tools; the use of this methodology based on data mining, preprocessing, cluster normalization, a strategic diagram and the analysis of its results to investigate machine learning in the military context; based on these results, a conceptual architecture of the practical use of ML in the military context is drawn up; and, finally, we present the conclusions, where we will see the most important areas and the latest advances in machine learning applied, in this case, to a military environment, to analyze a large set of data, providing utility, machine learning and decision support.

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Section: Ai Robotics and Smart Devicesmentioning

confidence: 99%

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confidence: 99%

Military Applications of Machine Learning: A Bibliometric Perspective

2022

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“…A number of publications in international relations, security studies and strategic studies have sought to study the effects of AI on warfare, global security and strategic stability ( Sweijs, 2018 ; Horowitz et al, 2018 ; Johnson, 2019 ; Chen, 2020 ; Ploumis, 2022 ). A scholarly discourse on contexualising the implications of AI within conceptual frameworks such as balance of power and power transition has also been evolving in recent times ( Wright n.d. ; Lee 2018 ; Horowitz, Pindyck & Mahoney, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Potential impact of artificial intelligence on the emerging world order

Vijayakumar

2023

F1000Res

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The fast-paced diffusion of technologies broadly falling under the umbrella of artificial intelligence (AI) is said to be shaping the emerging world order in international relations (IR). It is expected that the global AI race will pave the way for another rise and fall of great powers in the international system, similar to the impact caused by the three industrial revolutions of the past. The literature in IR identifies three major powers – namely, the United States of America (USA), China, and Russia, as the leading contenders in this AI race. The ongoing AI-enabled fourth industrial revolution is all the more unique due to the markedly different approaches these three powers have adopted for integrating AI into their military, political, and socio-economic spheres. The AI strategies of these countries further reflect their capabilities and intentions towards how they plan on employing the technology to elevate their prestige and power status in the international system. This paper draws from a historiography of the First, Second, and Third Industrial Revolutions to study how technological innovations have altered relative power capabilities of nations, triggering a re-ordering of power hierarchies at a systemic level. Drawing from this understanding, it analyses the nature of AI as an emerging technology and assesses whether it can cause systemic alterations. It critically examines and compares the AI strategies of the USA, China, and Russia as leading contenders in the global AI race and outlines their strengths and weaknesses. It further draws from the Adoption Capacity Theory to argue that the AI race may well be determined by the relative capacity of the major institutions in each of these countries to manage and adapt to the disruptions this technology is bound to bring to the fore.

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The Long Robotic Arm of the Law: Emerging Police, Military, Militia, Security, and Other Compulsory Robots

Oravec

2022

Social and Cultural Studies of Robots and AI

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AI weapon systems in future war operations; strategy, operations and tactics

Cited by 9 publications

References 0 publications

Military Applications of Machine Learning: A Bibliometric Perspective

Military Applications of Machine Learning: A Bibliometric Perspective

Potential impact of artificial intelligence on the emerging world order

The Long Robotic Arm of the Law: Emerging Police, Military, Militia, Security, and Other Compulsory Robots

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