2023 Volume 8 Issue 1
Creative Commons License

Technology, Artificial Intelligence, and Robotics in Future Wars


, , ,
  1. Faculty of Business and Management Sciences, Esenyurt University, Istanbul, Turkey.
  2. School of Civil Aviation, Nisantasi University, Istanbul, Turkey.
  3. Faculty of Fine Arts, Arel University, Istanbul, Turkey.
Abstract

This study aims to show the importance of initiating studies on the role of intelligence and its new uses in future wars without further delay and also to contribute to closing the current gap in this subject in the literature. This study aims to analyze the future post-modern wars through the reciprocal interoperability and multi-integration of technology and intelligence. This study, which adopts a qualitative research methodology, will primarily benefit from secondary data sources such as scientific books and articles in addition to scientific data analysis methods such as document and content analysis and interpretation. This study significantly contributes to the role of intelligence and the necessity to promote new scientific studies and to end the present gap in the data without delay. The ongoing developments taking place in technology will bring about the transformations clarified in this study. Ideas will be generated regarding the expected developments in technology and their roles on the battlefields of future wars. The scope of this study is the increasing importance and role of intelligence in developing network technologies as well as the potential areas where autonomous systems which can understand machinery can be used.


Keywords: War, Technology, Intelligence, Intelligent autonomous systems, Artificial intelligence.

INTRODUCTION

In the future, investing in capabilities to use automated processes to collect data should be made. Autonomous systems are expected to collect intelligence, whereas artificial intelligence is expected to provide valuable functions for intelligence analysis and anomaly detection. Weapon technology and war concepts from the Cold War era have been undergoing a great transformation over the last 30 years. Developments in digitalization and communication technologies during this period make possible new autonomous and multi-integrated systems utilizing artificial intelligence as well as unmanned aerial vehicles on the battlefield. It is obvious that all this will change the character of war, if not its nature. Significant transformations are expected in the field of defense technologies, especially over the next 20 years.

Wars generate new inventions, create power, enable cultural changes, and produce new dynamics. Wars bring about terror and destruction but at the same time transmit technology and spread languages and ideas. Today’s world is also on the verge of a rapid political, economic, and socio-cultural transformation. In a few decades’, fundamental phenomena such as societies, families, factories, education, and lifestyles will experience huge transformations. The time limitation of this study covers predictions up to 2040. At this point, it is not easy to envisage what kind of world will emerge in terms of wars and technology. We can discuss the dangers of 5G telephones, but we cannot even guess how human life will be affected by 6G. Over the next 20 years, the concept of defense may become obsolete as a result of the huge changes that will be experienced. New technology may emerge and erase what is recorded in our memories and bring the whole electronic spectrum under control, or a new epidemic or meteor may turn the state of affairs of humanity in a different direction.

Literature Review

The study makes a substantial contribution to the function of intelligence and the need to encourage more scientific research and quickly close the current data gap. Similarly, future wars should be considered carefully and designed in good time. When revolutionary innovations have the potential to quickly eliminate the national power constituents and their capabilities, it is expensive to invest in such research. Thus, the significance of this research is in predicting the functions and applications of intelligence in relation to the ways in which technological advancements may alter the nature of war.  

The War Medium of the Future- The Changing Characteristics of War

The requirements of 21st-century defense and protection mediums are different. Although the possibility of conventional war has not ended, the quality of the actors in the war zone has changed dramatically. Non-state elements and terror organizations are now included in the war zone. The design of a country and the undecided future of asylum seekers have become significant parts of war planning. Beyond all these, we are on the verge of a new war culture designated by weapon technology.

The advances keep changing not the nature but the character of war in terms of space and weapon technologies, in particular the extensive developments in GPS, guided missiles, and smart equipment after the 1990s (Table 1)

Table 1. Nature and Character of Wars in the First Half of the 21st Century

NATURE OF WAR

CONCEPTS

TECHNOLOGIES

Consultation

Integration of Systems

Working Cooperatively

Unity Decision-Making Processes

National Systems

Command and Control

Range of Motion Command

Systems of the System

Situational Awareness

End to-End Impact Chain

Human in Artificial Systems

Advanced Machinery Learning

Deep Learning

Perpetuity

Deterrence

Power Projection

Cyber Abilities

Civil Defense

Integrated Survival

Smart Cities

Power Protection Systems

Electronic War

Counter Measures

Cryptology

Nullification/Disposal

(Destroy, Avert Danger)

Weapon Platforms

Firing and Maneuver

Activator

Subversive Capabilities

A2/AD

ASB

Distant Battle

Hybrid Battle/War

Quantum Capabilities

Intermediary power (non-lethal weapons)

Kinetics Engagement

Clinical Operations

Multi Use of Hypersonic Systems

Common Fires

Fire on Critical Targets

RSOM

Autonomy

Internet of Cyber-Objects

Unmanned Air Systems

Man-Machine Operations

Laser Energy Weapons

AI at Hybrid Combat

Subsidiary Activities

Compatible Sustainment/ Usability

Communication Systems

Host Country Upholding

Space Capabilities

Multi-application Intelligence Vehicles

Logistics Maintenance Bases

Advanced Human Performance and Health

Intelligent Equipment

Network Technology

Operative Vehicle Technology

Facilitative Activities

Civil-Military Cooperation Activities

Invasion Government

NGO Activities

Humanitarian Aid

Transportation Liberty

Protection of the Civilians

Detection in Mega Cities

Residential Area Operation

Architectural Cooperative Operation

Smart Cities

Adaptive Net Defense

City, Building, and Region Sensors

Intelligence

Detection

Recognition

Identification

Strategic Warning

Target Detection and Warning

Generation Picture-Perception

Targeting

Multi-level Analysis and Strategic

Operational Assessment

Contra-Intelligence

Space Controlling

Ambiguity Management

Biometric Activities

Autonomous/Semiautonomous Systems

Display Plotting

Positioning

Artificial Intelligence Utilization

Man-Machine Combat Nets

Multi Sensor Networks

Large Area Observation (Machine)

Integrated Detection

Dynamic Tracing

Critical Targeting at Opposition Territory

Opposition Detection

Optoelectronic 3D Scanning

Intelligence gathering (Spy Camera) Systems

Cooperative Navigation

High Spectral Analysis

Naval Surface Signing

Source: Marsili (2021) from Holmqvist-Jonsäter and Coker (2010); NATO STO (2019); Dost Autonomous (2020).

Rapid developments in unmanned systems, data processing, autonomy, network setup, and other technologies will determine a new war form, which will be exploited by not only states but also terror organizations and non-state actors like mafias or pirates. Thus, prospective armies will try to develop new concepts, doctrines, education systems, military policies, and organizational alterations consistent with the new war environment in order to achieve superiority with their new forces and capabilities in comparison with the other armies in the prospective wars.

It is necessary to do a long-term analysis of how the future of technological advances will transform the operating environment and how man-machine operations will be integrated to develop subsidiary capabilities incorporating the corresponding concepts and scenarios and requirements of the military. Spy cameras, unmanned aerial vehicles, new-generation aircraft, sensors, anthropoids (putting artificial intelligence into use), man-machines, autonomous systems, and new platforms have to be thought of in conjunction with the war scenarios.

The Future War Medium

Future wars, to a great extent, will be machine wars where a high rate of technology is used, which will make engineering even more important. Engineers and technology companies will have to work more closely with the military on the solutions to problems encountered in the war zone, and they will be the consultants of the commanders. Even more so, we will see the wars turning into a war of engineering.

Conventional weapons (tanks, aircraft, and warships) will either become extinct gradually or be replaced by new, smarter models, which will be integrated and synchronized into the intelligent future network and war medium. In the next 10-20 years, the conventional devices and weaponry forms left over from the Cold War era cannot be modernized, so they will completely disappear and be replaced by unmanned and smart machines.

Machinery reform (nanotechnology, biotechnology, unmanned production, new energy sources, cognitive-behavioral-social sciences, human recruitment); the key development will be in the transition to semi-autonomous and autonomous war machines. The requirement for personnel has already been diminished by the application of machines in intelligent ships (Medium, 2020). 

Robotic soldiers will take control of their weapons and drones (in addition to taking part in combat by delivering explosives) and will protect ships and essential establishments–military and civilian. Drone spy cameras conveying sensors and the utilization of semi-autonomous armies in the design of ants are also being planned.

Defense Technologies of the Future - The Military Technologies of the Future

Seventh-generation military reform will be the result of rapid advancement in the realm of technology. The technologies (such as data processing, connectivity, artificial intelligence, robots, and biosciences) that accelerated the Fourth Industrial Revolution have become an intrinsic part of our lives while also being used for the transformation to a new kind of war. 

Technological developments will most likely focus on five basic areas (NATO STO, 2019):

  • Biology, biotechnology, and medicine.
  • Robots, artificial intelligence, new smart weapons, and enhancing human capacity.
  • Information and communication technologies, observation, and cognitive science.
  • Nanotechnology and advanced equipment.
  • Energy technology.

In addition to the above-mentioned items, 3D print production and significant developments in the hypersonic area are expected. These developments will also impact the structure, culture, and processes of the armies. As an example, while the automation damage is decreasing, 3D production sustainment will increase, thus facilitating logistics.

The new technologies approved by the NATO Defense Ministers in October 2019 are the following (NATO STO, 2020): 

  • Big Data
  • Artificial Intelligence
  • Autonomous systems
  • Space systems
  • Hypersonic
  • Quantum technology
  • Biotechnology
  • Upgraded Equipment.

Autonomous Weaponry Systems

Autonomous weaponry systems are the new generation of war systems that maintain the military factor backed by artificial intelligence and are incomparable to the older weaponry systems. These systems represent one of the progressive advancements of the 21st century and can act independently of a human operator to accomplish the mission coded to it at a high level of sensitivity. Today, there is no consensus regarding the identification of autonomous systems. Generally, limited human intervention is required so that once activated, they can select the targets and fulfill the operation.

Autonomous Systems

The prospective autonomous weapons systems of the future automatically select and engage their targets. When the human factor is included in such weapon systems, it is classified as semi-autonomous. Man-machine systems must possess characteristics such as predictability, reliability, and speed and must be operated in groups as much as possible.

Semi-Autonomous Weapon Systems

These weapons can be run by a remote-control system coordinated by an operator in the field, who identifies the targets and, when necessary, can apply force in the process. The fire-and-forget-type rockets used today are the semi-autonomous weapon systems included in this category. In this case, unmanned aerial vehicles have to be considered within the scope of semi-autonomous weapon systems (Ozer, 2020).

Human Supervised Autonomous Weapon Systems

Even though there is human involvement in the process like in the semi-autonomous weapon systems, human-supervised autonomous weapon Systems are automatic systems with predetermined functions instead of remote control. ‘Automatic sentinel weapons’ located at border posts are one of the best examples. Thus, these autonomous systems consist of the least artificial intelligence (Amoroso & Tamburrini, 2020).

Artificial Intelligence

Artificial intelligence is the scientific field that envisages providing machines with problem-solving qualities similar to those of human beings. Artificial intelligence research aimed at military use is focused to a great extent on wielding tactics and developing technology within autonomous weapons systems (Albhair & Bugis, 2023). However, artificial intelligence can be used for strategy and deterrence research or in the context of cyber security within the area of crisis management (Russell & Norvig, 2009). Today, humanlike machines are mostly conceived as a means to solve military issues. The mission to be carried out in a restrictive sense is to identify faces and fulfill certain assignments using certain algorithms. In a wider sense, however, due to ‘machine learning,’ there can be a much wider range of uses. Four fundamental categories can be identified for the use of artificial intelligence in military areas (Scharre, 2018): observation, data analysis, intelligence, and military planning (Mojahed et al., 2021; Tsekhmister et al., 2021).

Autonomous weapon systems will be the most important military element of the new generation of war, which shows the improvements made in artificial intelligence. These weapon systems do not need human interference so they can fulfill their mission without any human sensing during operations. Although in the current combat zone, autonomous weapon systems do not play a role, future combat zones will be configured by autonomous weapon systems. Future technologies and their features are described in Table 2.

Table 2. Future Technologies and Their Functions (2020-2040)

Information

Artificial Intelligence

Autonomy

Data Collecting and Sensor Operation

Improved Algorithms

Autonomous Systems

Non-Electro Magnetic Sensors

Artificial Intelligence

Autonomous Function Systems

Sensor Integration & Network

Major Data & Distant Data Process and Analysis

Unmanned Platforms

Advanced Signal Process

Advanced Signal Process

Counter Measures

Information Analysis & Decision Assistance

Common Human-Machine Survival

Active/Passive Electro Magnetic

Major Data & Distant Data Process and Analysis

Human Machine Interfaces

Acoustic and Optical Counter Measures

Major Data & Human Decision Making

Integrated Hybrid Human Machine Forces

Human Machine Teams

Multi-Medium Situation Awareness

Human-Autonomous Machine Team

Human Machine Interfaces

Planning and Management Ambiguities

Applied Artificial Intelligence

Human-Autonomous Machine Team

Advanced Systems Concepts

Multi-Medium Situation Awareness

Integrated Hybrid Human Machine Forces

Integrated Human-Machine Hybrid Forces

Planning and Management Obscurities

Autonomous Behavior

Units & Regiments

Human Decision Making

Units & Regiments

Modular, Detachable Systems

HYPERSONIC

Sensor Integration & Networks

Super ordinate Guaranteed Engineering & Verification

Counter Measures

Secure and Flexible Communication

Autonomy

Active/Passive Electro Magnetic

Engagement Rules

Artificial Intelligence

Acoustic and Optical Counter  Measures

Legal and Ethical Implications

Autonomous Mission Systems

Weapons-Techniques and Systems

BIOTECHNOLOGY

Human Autonomous Machine Team

Weapon Effect

Bio-informatics

Communication & Networks

Platforms and Firing

Major Data & Distant Data Processing and Analyzing

Secure and Flexible Communications

Fast & Mobile Platforms

Human Flexibility

Reliable Multi-medium Information Sharing

Hypersonic Platforms

Cultural Communication

Temporary and Heterogeneous Network

Reinforced Energy Operation & Management

Group and Organization Behavior

SPACE

Firing

Health Optimization

Operation

QUANTUM

Political Impact

Units & Regiments

Communication

Electro Magnetic Sensors

Hitting Control

Secure and Flexible

Communications

Anti-Electro Magnetic Sensors

Platforms

Reliable Multi-medium Information Sharing

Synthetic Biology

Super ordinate Guaranteed Engineering & Verification

Information Science

Human Flexibility

Modular, Detachable Systems

Major Data & Distant Data Process and Analysis

Health Optimization

Firing

Firing Steering

Advanced and Adaptive Equipment

Fast & Mobile Platforms

Steering Control

Human Reinforcement

Reinforced Energy Operation & Management

Sensors

Advanced Cognitive Performance

Active/Passive Electro Magnetic

Electro Magnetic Sensors

Human & Machine Interfaces

Acoustic and Optical Contrary Measures

Anti-Electro Magnetic Sensors

Integrated Hybrid Human Machine Forces

Weapons-Techniques and Systems

 

Alternative and Recyclable Energy Sources

Sensors

 

Medical Contrary Measures

Electro Magnetic Sensors

 

Human Flexibility

Anti-Electro Magnetic Sensors

 

Health Optimization

Source: Edited by author, from Reding and Eaton (2020); Medium (2020).

In the next 20 years, the subversive power of artificial intelligence is expected to be seen in the following areas (Scharre, 2019):

  • Growing digital usage and huge data sets open to the public,    
  • Wide activity and usage of cyber-physical systems
  • New fields of application require great investments due to the increasing adaptation of more artificial intelligence techniques.
  • Decision-making and optimal control (power systems, investment, etc.)
  • Terminal cognitive domain, unique sensor and database design mechanisms open to improvement,
  • Improved major data analysis mechanisms and computer vision.

Useful implications of artificial intelligence directed toward national security (such as surveillance, data analysis, intelligence interpretations, and defense) will be initiated.

Human-Machine and Super Soldiers

“Super soldiers” will eventually replace common soldiers. On the whole, land assaults will be carried out by energy-information (loaded) weapons, and they will be employed on nonlethal systems. Besides the regular units, irregular and hybrid forces will be employed. The combat zone will become multi-dimensional, and the operations will be held mostly in urban areas. Military personnel will be organized in cooperation with the robots and smart base systems. While some of the soldiers are busy with the command of the combat operations, the others will employ “the super soldiers,” who wield physical, cognitive, and sensor capabilities (Russian International Affairs Council, 2019).

For human machines, steel skeletons, artificial organs, and neural faces will be too employed. Artificial nerve networks will utilize chips that imitate the structure of the human brain. These chips are lined up on a circuit board like neuron networks and the artificial intelligence software functions as the real nerve network, similar to the artificial neural networks used in recent smart phones.

Robotics and Unmanned Aerial/Land Vehicles

Due to the developments in the robotic field (like armed ground robots), the old systems will go out of style and be replaced by new ones. In the digital combat zone, a single operator will control various robotic platforms. The fighting robots will vary from nano-robots and spy camera devices to robotic vehicles in various forms. Most of these devices will have sensors for reconnaissance and surveillance. 

Some of them will be used as evacuation vehicles or possibly explosive assignments. For example, they may take part in networks to protect against cyber-attacks or advise complex decision-making systems. Robots will be exploited in information collecting, data processing, and lethal firing power platforms. Figure 1 shows a robot in a combat zone (Xuanzun, 2022).

a)

b)

Figure 1. Robots in Combat Zone (Xuanzun, Global Times 2022) and Unmanned Land Vehicles (ULVs)

Source: Allied Market Research, 2022; Grabianowski, 2022

Moreover, robot infantries using unmanned intelligent tanks are being considered.

These systems, which can move by distinguishing any object they confront as a friend or foe, have quite different characteristics in comparison with unmanned vehicles. Figure 1 shows this version of the ACER robot clearing anti-personnel landmines (Grabianowski, 2022) and an unmanned tank (Allied Market Research, 2022).

Unmanned Aerial Vehicles (UAVs): can be divided into broad-band and narrow-band groups. The broadband ones are the drones that are operated from the ground by a pilot and require personnel and power source to operate. The narrow-band ones are drones that can be purchased for a thousand dollars instead of millions of dollars and used for autonomous operations.

Armed unmanned aerial vehicles (armed UAVs) give armed groups that do not have the capability of going into conventional combat with the states the capacity to stand against them. Because the UAVs are known as semi-autonomous systems operated actively in combat zones and because of the absence of a protection mechanism aimed at the UAVs, the states have to activate aerial protective systems despite the high cost.

MATERIALS AND METHODS

Due to its use of secondary data analysis methods and sources, this study bears the characteristics of a qualitative research methodology base. The survey at the same time applies the inductive method to the detailed data to extend the argument from a set of propositions towards a generalization. In a survey, making use of the secondary sources method is favored as the basic data collection method. In this context, scientific scanning of various scientific books, articles, dissertations, and reports is done. This study is qualified as interpretative and explanatory for the fast advancements and developments experienced in both modern technology and modern intelligence and in the related legal/executive fields. Thus, scientific research and data analysis methods take advantage of documentation and content analysis together with interpretative methods. Hypotheses are called into question.

Artificial Intelligence in Future Wars

Hypothesis 1- Technology and intelligence capabilities will determine in future wars

The concept of confidentiality has changed dimensions as a consequence of technological advancements, and it is becoming increasingly easy to access confidential information. A more flexible intelligence capability is required for a quick reaction. Primarily, the advancements in technology will make an important contribution to the development of target detection possibilities and the impact of covert operations. Operations such as punishment, assassination, sabotage, search, and rescue will have greater appeal due to the opportunities technology provides. GPS, or its supplements, satellite guidance instruments, and satellite communication will soon be exploited by many countries. Global communication mediums like media and the internet will become even more widespread, and new studies done in this area will lead to the emergence of new means and methods for psychological operations.

Big Data and Advanced Analytics (BDAA): The interpretation of information flow will gain importance with progressive developments in the digital and cyber world. Particularly, the field of analytics will provide a more comprehensive production process (analysis and visualization of mathematics) for existing systems and a more predictive vision of future systems (NATO STO March, 2020). Analysts will frequently face difficulties in volume, fluidity, variety of information, and accuracy or visualization.

Intelligence, Surveillance, and Reconnaissance (ISR): The widespread advanced sensors and increasing use of autonomous systems will ease detecting, classifying, identifying, registering, and engaging threats exponentially in physical and virtual operational mediums (Oncel, 2020). Administering strict power sources and optimized waveforms will simultaneously reinforce, search, and trace aerial targets with faster and more accurate ISR and multiple intelligence source analysis (Marr, 2017). There will be more robotic elements in future forces and mediums, which will be used mostly for ISR activities. These systems will apply simple reasoning in the beginning for the data filtration of the users, and some tasks will become automatic and will focus on more and more critical issues (Allen, 2018). Integrating mobile calculation with robotic systems will contribute to the tasks planned within a near real-time operational picture.

Situational awareness: The upgraded mapping of assigned positions will strengthen operational planning and increase awareness of the situation. The enhanced situation awareness will include advanced living patterns, human areas, and anomaly detection. This awareness will be magnified by visionary capabilities working with low-power analytical instruments (artificial intelligence, etc.) and increasing information flow at both tactical and command levels. Geographically marked military systems and social media data will be used for accurate environmental information with continual acceleration (Ortiz et al., 2020).

5G and Internet of Things: 5G applications will provide the Armed Forces with growing activity, flexibility, speed, and lethality. For that purpose, according to the briefing of Dr. Evans (2020), 5G Director, military experiments using this technology are being conducted in five air and land bases in the USA: Hill (Utah), Nellis (Nevada), San Diego (California), Albany (Georgia), and Lewis-McChord (Washington). 12 more bases will join them later. The following are among the most important areas of usage (Dinucci, 2020):

  • Hypersonic weapons, including those with nuclear warheads,
  • The collection and processing of major data, and by way of fast distribution preventing missiles from mass executions,
  • The application of weapons based on automatic systems.
  • By generating a war zone network everything becomes interconnected 
  • Providing a more efficient espionage opportunity for the Intelligence services and Special Forces and enhancing the activity of the killer drones.  

As can be seen, 5G will have far more results than a commercial war realm. 5G will not only alter human life but will also give way to wars that may bring an end to the human race due to the new generation of weapons they create.

The Internet of Things (IoT): Studies on the issues of potential risks and opportunities in the military medium are being conducted. Some of the military scenarios that IoT applies are considerably improved. The most important issues are related to security, safety management, and heterogeneity. Among the scenarios, IoT has applied (Wassel, 2018; Seffers, 2020):

  • Humanitarian aid and disaster-fighting operations,
  • War on terror
  • Psychological monitoring,
  • Logistics and supply chain management   

The exploitation of speed and capacity expansion provided by IoT in situational awareness, command control, and logistics systems is being worked on.

Hypothesis 2- Military intelligence will be applied to military conditions, actions, or military policy production, planning, and the enforcement of military operations in future wars.   

Military intelligence is applied to military conditions, actions, or military policy production and planning, and the enforcement of military operations. In this context, using the Intelligence Integrated Data System, or rather the Intelligence Database (ID), is being considered (Rabaey et al., 2007). The problem here is to formulate the mathematical, algorithmic, and practical perception, control, and learning characteristics required to ease the development of these intelligent and autonomous systems. This constitutes the following fields of study (Allen, 2020):

  • Integrated intelligence: judgment, transformation into knowledge, logical reasoning, and planning using the base elements synergistically to produce the required function.
  • Powerful reasoning in a medium of ambiguity: erroneous detection, system failures, or ambiguous situations where the real systems give errors or the adjustment of the system to a new situation by reasoning out ways to change the dynamic mediums or readjust the situation.
  • Socio-cultural modeling/calculation: meaningful information brought together by game theory elements.

Artificial Intelligence, Intelligence Cycle & Autonomy, and Nano-Technology

Artificial intelligence can be used intensively in data and intelligence collection, assessment, analysis, and distribution work. Contemporary artificial intelligence consists of:

  • Data collection and analysis,
  • Identification of face, speech, and handwriting,
  • Critical thinking,
  • Manner of walking (gait) identification, 
  • Behavior analysis ability. 

Artificial intelligence has the functions of making further interpretations and employing intelligence besides surveillance. Artificial intelligence is particularly good at the identification of trends in data collection.

Thus, it can be employed for picking/sorting between the major information piles for near real-time intelligence analysis.

Autonomy, as a technology that is expected to evolve, is open to new methods of usage with potential in the field of intelligence. However, the greatest contribution expected from autonomy is that it will back and accelerate the intelligence cycle and take on more roles in each phase and process. In this context (Rademaker et al., 2021):

  • In the process of collection and operation it will reduce deception in due to data fusion coming from multiple sources, each source of data will be checked against the others,
  • Anomaly detection/trend recognition and data processing will include registering the confidentiality degree of the intelligence output,
  • Autonomy will aid in the distribution phase of data sharing and fusion.
  • Where humans and machines will join the process will be determined during the intelligence operation.
  • New intelligence autonomy concepts will be prepared to anticipate the use of potential autonomy at different levels of the cycle.

The sensitivity and resolution qualities of the sensors determine the degree of accuracy in the intelligence collected. Unmanned aerial and land vehicles that are equipped with nano-sensors will be undertaking invaluable missions to survey the combat zone, provide support for the survival of friendly troops, and ensure the early detection and identification of terrorist activities (Butt & Akhtar, 2021). In contrast to conventional sensors, smaller, less expensive, and more powerful nano-sensors together with smart systems, will begin to play a role in all areas of our lives. 

RESULTS AND DISCUSSION

Weapon technology and war concepts from the Cold War era have been undergoing a great transformation over the last 30 years. Developments in digitalization and communication technologies during this period make possible new autonomous and multi-integrated systems utilizing artificial intelligence as well as unmanned aerial vehicles on the battlefield.

It is obvious that all this will change the character of war, if not its nature. Significant transformations are expected in the field of defense technologies, especially over the next 20 years. All these developments will have an impact on intelligence capabilities and processes.

In the future, investing in capabilities to use automated processes to collect data should be made.

Autonomous systems are expected to have intelligence-collecting functions, whereas artificial intelligence is expected to provide valuable functions for intelligence analysis and anomaly detection.

H1 vs. H2 hypotheses are the opinions of the authors and are claims about future wars. It is observed that it is starting to happen. The impact is inevitable in technological development. Technological superiority is the essential condition for victory in future wars...

CONCLUSION

In this study, the trilogy of technology, war, and intelligence has been assessed. The impact of future technologies on the war environment and their effect on intelligence functions, as well as their mutual interaction, has been elucidated in detail. In the wars of the future, intelligence is due for a significant transformation, especially concerning the applications that will be enabled by autonomous systems and artificial intelligence technologies. In the future, to collect data, investment in technologies using automated processes will be necessary. Autonomous and separable vehicles, remote control sensors, and potent technologies with intelligence networks capable of early warning should be acquired. Such investments must cover all sorts of (data) collection instruments, including super-humans (human-machines). In this context, it is necessary to work on the new regulations, the legal framework, and the principles and policies that are required for adapting to this new technology. In the formation of the overall combat image, in order to use the cyber capabilities and sensitivities of friend and foe, the requisite awareness must be maintained. It is necessary to develop our capabilities for monitoring, detection, and espionage as fields of interest in the cyber stage/space. The incoming information will be assimilated with the existing information and analyzed, and a ‘judgment’ will be reached. To this end, we must prepare ourselves, over and above the use of computers for the transmission of information, for systems with super intelligence or artificial intelligence and the human-machine era.

ACKNOWLEDGMENTS: None

CONFLICT OF INTEREST: None

FINANCIAL SUPPORT: None

ETHICS STATEMENT: None

References

Albhair, H. A., & Bugis, B. A. (2023). Impact of break hours on work quality among respiratory care providers in Saudi Arabia's eastern province. Journal of Advanced Pharmacy Education and Research, 13(1), 142-152.

Allen, G. W. (2020). International, Future Technologies and Processes. Military Modeling and Simulation (M&S) Journal, NATO STO, STO-MP-MSG-094. https://www.cmre.nato.int/research/modelling/

Allen, T. W. (2018). Future Technologies and Processes. Military Modeling and Simulation (M&S), Admiral – Former Commandant of the Coast Guard. U.S. Department of Defense. NATO STO, STO-MP-MSG-094. https://www.cmre.nato.int/research/modelling/ (11 January 2021)

Allied Market Research. (2022). Military Robots Market Statistics 2030. https://www.alliedmarketresearch.com/military-robots-market-A13130, (20.05.2022)

Amoroso, D., & Tamburrini, G. (2020). Autonomous weapons systems and meaningful human control: ethical and legal issues. Current Robotics Reports1, 187-194. doi:10.1007/s43154-020-00024-3

Butt, Z., & Akhtar, J. (2021). In Nano sensors for Smart Manufacturing, Next-generation self-powered nanosensors, from Pooja, Papia Chowdhury. In the Handbook of Nanomaterials for Detection Applications. https://www.sciencedirect.com/topics/materials-science/nanosensors, (23.04.2022).

Dinucci, M. (2020). The Dark Side of 5G: Military Use. Global Research, Transcend Media Service, Italian on Il Manifesto. https://www.transcend.org/tms/2020/09/the-dark-side-of-5g-military-use.

Dost Autonomous. (2020). Robot Project, Defense Industry. Unmanned and Intelligent Systems. Workshop / Unmanned and Autonomous Land Vehicles Design Competition- Robotic.     https://www.ssb.gov.tr/website/contentlist.aspx?pageid=1088, (22.04.2022)

Grabianowski, E. (2022). How Military Robots Work, howstuffworks.com. https://science.howstuffworks.com/military-robot.htm, (20.05.2022)

Holmqvist-Jonsâter, C., & Coker, C. (2010). The Character of War in the 21st Century, ISBN 9780415691536, Published July 26, 2011 by Routledge, Taylor & Francis Group, p.180.

Marr, B. (2017). What Is Digital Twin Technology - And Why Is It So Important? https://www.forbes.com/sites/bernardmarr/2017/03/06/what-is-digital-twin-technology-and-why-is-it-so-important/. (11 January 2021).

Marsili, M. (2021). The 21st Century Conflicts: Understanding the Changing Nature and Character of War, Universidade Catolica Portuguesa, and Presentation. November 2021, doi:10.5281/zenodo.5634246

Medium 2020. Technology in the Future War Medium, https://medium.com/omidyar-network/wargaming-the-future-of-warfare-and-the-rise-of-third-party-actors-6850407f4a87, (22.04.2022).

Mojahed, S., Shekari, M., Bokaie, M., & Dehghani, A. (2021). The effect of training in pregnant women on beliefs and intention to do FGM. Journal of Advanced Pharmacy Education and Research, 11(4), 136-142.

NATO Science & Technology Organization (STO), (2020). Science & Technology Trends 2020-2040 Exploring the S&T Edge, https://www.nato.int/nato-static-fl2014/assets/pdf/2020/4/pdf/190422, (11 January 2021).

NATO Science & Technology Organization (STO). (2019). Report, Framework for Future Alliance Operations. https://www.act.nato.int/images/stories/media/doclibrary/180514_ffao18.pdf . pp. 38-39, (11 January, 2021).

Oncel, R. (2022). Technology and Defense Industry. Criterion Journal, 6(65). https://kriterdergi.com/dosya-teknoloji/teknoloji-ve-savunma.

Ortiz, B., Lindenbaum, D., Nassar, J., Lammers, B., Wahl, J., Mangum, R., Smith, M., & Bosch, M. (2020). A Common Operating Picture Framework Leveraging Data Fusion and Deep Learning, arXiv papers, (Accenture Federal Services, Arlington, VA, USA). 2001.05982[cs]. http://arxiv.org/abs/2001 (11 January 2021).

Ozer, A. (2020). Third Revolution in Wars Autonomous Weapon Systems, TASAM (Turkish Asian Strategic Research Center) Publications. https://tasam.org/tr-TR/Icerik/52518/ 17 January 2020.

Rabaey, M., Leclercq Jr, J. M., Vandijck, E., Hoffman, G., & Timmerman, M. (2007). Intelligence base: Strategic instrument of an organisationNATO – OTAN, RTO-MP-IST-055, 01bDecember 2006, Vrije Universiteit Brussel. https://apps.dtic.mil/dtic/tr/fulltext/u2/a474209.pdf

Rademaker, M., Arkhipov-Goyal, A., Atalla, S., Bekkers, F., Bolder, P., Chavannes, E., Hristov, A., Klijn, H., Klonowska, K., Okana-Heijmans, M., et al. (2021). Robotic and Autonomous Systems in a Military Context, Security Program, Capstone Report,  Published by: Hague Centre for Strategic Studies - (JSTOR Journal, Stable, January 2021, ISBD/EANH: 9789492102850 URL: https://www.jstor.org/stable/resrep29554.3, (23.04.2022).

Reding, D. F., & Eaton, J. (2020). Science & Technology Trends 2020-2040, NATO STO, Exploring the S & T Edge. Nato Science & Technology Organization, Belgium, March 2020, https://www.nato.int/nato_static_fl2014/assets/pdf/2020/4/pdf/190422-ST_Tech_Trends_Report_2020-2040.pdf, (22.04.2022).

Russell, S., & Norvig, P. (2009). Artificial Intelligence: A Modern Approach.  (3rd Edition), Pearson. ISBN-13: 978-0136042594.

Russian International Affairs Council. (2019). Analysis of Future Warfare. https://russiancouncil.ru/en/analytics-and-comments/

Scharre, P. (2018). Army of None: Autonomous Weapons and the Future of War, W.W. Norton, ISBN: 978-0-393-35658-8

Scharre, P. (2019). Military Applications of Artificial Intelligence: Potential Risks to International Peace. Stanley Center for Peace, July, 2019, The Militarization of Artificial Intelligence, August 2019, Stanley Center, https://reliefweb.int/sites/reliefweb.int/files/resources/TheMilitarization-ArtificialIntelligence.pdf, (23.04.2022).

Seffers, G. I. (2020). NATO Military IoT Examines its Applications. SIGNAL Journal, 31 October 2019. 

Tsekhmister, V. Y., Konovalova, T., & Tsekhmister, Y. B. (2021). Distance learning technologies in online and mixed learning in pre-professional education of medical lyceum students. Journal of Advanced Pharmacy Education and Research, 11(4), 127-135.

Wassell, P. (2018). 3 Military Applications of the Internet of Things. Augmat, 31 October 2019.

Xuanzun, L. (2022). China develops world's largest quadruped bionic robot for delivery, reconnaissance tasks.  Global Times. https://www.globaltimes.cn/page/202201/1246094.shtml, (22.04.2022)

 


How to cite this article
Vancouver
Oran İB, Yilmaz S, Ertürk M, Gün H. Technology, Artificial Intelligence, and Robotics in Future Wars. J Organ Behav Res. 2023;8(1):244-58. https://doi.org/10.51847/pr1EaWSiNa
APA
Oran, İ. B., Yilmaz, S., Ertürk, M., & Gün, H. (2023). Technology, Artificial Intelligence, and Robotics in Future Wars. Journal of Organizational Behavior Research, 8(1), 244-258. https://doi.org/10.51847/pr1EaWSiNa
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