Abstract
The thesis has followed the purpose of presenting a position on artificial intelligence use. Further discussion has revealed how it can be employed in two selected sectors, i.e., defense and space. The current use of AI in the defense sector is evident in different areas, including cybersecurity, intelligence analysis, autonomous systems, and advancements in logistics and supply chain management.
The space sector has been transforming different activities, including navigation and control, anomaly and threat detection and management, traffic management, and satellite image analysis. The focus of this thesis has been on the future, noting that further enhanced implementation of AI can take place in both selected sectors. These areas can be space exploration, traffic management, predictive analysis, and autonomous weapons systems. In this respect, these identified areas in the defense and space sectors show signs that the thesis has taken the position to remain ethical, responsible, and ambitious for development in these sectors. It will help to make these sectors take full benefits and value from AI.
Thesis statement
Artificial intelligence is being used in various sectors and areas by using predictive and intelligence-based computer and robotic systems (Javaid et al., 2022). It is used in the defense and space sector to make them proactive, responsive, and advanced (De Spiegeleire et al., 2017). However, ethics, transparency, and further development in these sectors could take place.
Artificial intelligence has transformed the world, and its emerging developments are set to change the face of different sectors, including defense and space. The thesis has elaborated on how it is going to do this. Efficiency, predictive intelligence, and autonomy are significant features of AI in these sectors (Szabadföldi, 2021). However, it is going to advance and transform autonomous weapon systems, space traffic and exploration, and responsible and ethical use in the future.
Current use of Artificial Intelligence (AI)
Artificial intelligence is being used in various sectors, including the defense and space sectors. An immediate and direct effect of AI is the enhancement of capabilities in an industry where its application is made. Organizations seek a competitive advantage that is strategically present in their hands. AI provides them the opportunity to sustain competitive advantage through its ability to improve and transform capabilities and strengths (De Spiegeleire et al., 2017). AI is the application of technology that has an extensive and broad range of applications, and it inspires any sector, including the defense and space sector. The way it is being used has been explained in the following.
Use of AI in the Defense Sector
The defense sector employs artificial intelligence in different ways, including its use in cybersecurity, intelligence analysis, the autonomy of its systems, logistics, and supply chain management, and advancement and improvement in processes and operations in the sector.
Cybersecurity
Artificial intelligence has traditionally been associated with intelligent beings. It uses digital computers and computer-controlled bots to perform actions and respond to users. AI works through algorithms, and government and private institutions use AI for its innovative algorithms and programs to meet objectives. According to research, the defense sector has been employing AI to ensure cybersecurity by developing responsive algorithms and detentions and responsiveness to cyber threats (De Spiegeleire et al., 2017). The defense sector has seen AI as supportive of its objective to defend and have preemptive action against a developing and emerging threat. AI algorithms can detect and respond to these threats in real time. Their capacity to analyze networks, processes, and user behavior is so efficient that it is quick to note anomalies and malicious activities from intruders and opponents (Jun et al., 2021). Cybersecurity is a prominent defense system in the defense sector, mainly when technology is used in this sector.
Processing and analysis of intelligence data
Artificial intelligence is rich in intelligence and proactive processes in a given system. Data sources are diverse, and the defense sector obtains them from different sources to remain informed and proactive. AI algorithms and processes are efficient and in line with intelligence and productive processing of data from multiple and diverse sources. A straightforward phenomenon today is in the form of social media. Research has shown that social media has increased the level of communication and has reshaped the way people communicate (De Spiegeleire et al., 2017). It simultaneously increases the level and intensity of threats to the defense system in many ways. AI processes data with intelligent systems and processing to give a meaningful picture to it. AI does not merely process intelligence data, but it analyzes the collected large amount of data (Svenmarck et al., 2018). Data gathered from satellite imagery also provides intelligent data. It results in the prediction of threats and assists in responsive decision-making. Information-based decision-making is possible through AI in the defense sector.
Autonomous and responsive systems
Driving vehicles, weapons, and drones with technology is a vital use of AI in the defense sector. AI-powered drones provide surveillance and work on their target. They run without pilots or any human sitting inside them. Instead, they set their path following the target using AI that reduces threats to human life (Schuller, 2017). It also brings precision as AI technology in drones is being used extensively in the defense sector. It is not confined to drones or vehicles; the defense sector is utilizing AI in autonomous weapons as well (Schuller, 2017). Autonomous weapons and tools let stakeholders in the defense system reap its benefits. Precision reduces resource wastage, and handlers can achieve targets with less use of resources. Autonomous systems are responsive, and they respond in real time. There are continuous developments and improvements in the defense sector as the AI field is on the rise and opportunities are widening.
Logistics and supply chain management operations
The application of artificial intelligence in the defense sector has two ways. The first way of application is in the form of developing new technologies, systems, and products to bring effectiveness and efficiency to the system. The second way of application is to use AI for efficiency in regular activities and operations in the sector. A crucial regular activity or field is logistics and supply chain management operations, which might cause huge costs and financial burdens on the defense sector. AI emerges as an effective and efficient option in this respect as well by predicting maintenance needs and working on them efficiently. Streamlining resource allocation brings efficiency, and AI predicts the need to consume funds and the budget. Logistics and supply chain management operations in the defense sector are resource-consuming, and AI works at a broader level to fill in the gap (Dhamija & Bag, 2020). Responsiveness and technology-intensive role of AI assist logistics and supply chain management operations. As a result, operations become more coordinated and focused to reduce costs and increase the level of efficiency.
Advancement and improvement in processes and operations
Artificial intelligence is an emerging field that affects many fields and business categories. The central value of AI is in terms of the efficiency and effectiveness of processes and operations by adding the role of technology. It opens the door to more advancement and improvement in processes and operations in any sector, including defense. Nations' private factories and businesses in the industry engage in research and development that meaningfully improves operations and processes (De Spiegeleire et al., 2017). Intelligence analysis and enabling automation in the system are prominent practices that allow advancement and improvement in processes and operations to take place in the sector. AI has been transforming the industry and has been enabling the achievement of new milestones.
Use of AI in the Space Sector
AI has been used in the space sector from different angles and aspects. Its algorithms assist the industry in making plans and implementing new goals and strategies. The space sector is still being determined as there is almost no room for defects. Once a mission leaves Earth, it must be perfectly functioning to be successful. Proactive guidance and real-time support from artificial intelligence provide a comprehensive package support base for the sector, and it is the reason why AI is being used in the industry in numerous ways.
Real-time satellite image analysis
Artificial intelligence algorithms are proactive and autonomous. They are self-governing and ahead of when the need arises. Satellite imagery is crucial in the space sector when the mission in space needs awareness of activities around it. AI is real-time and provides information frequently; therefore, it reduces the burden on the space mission to get information. It allows the space mission to focus on objects of interest and keep changes tracked (Fourati & Alouini, 2021). Environmental happenings in space, as well as when it is on Earth, are worthwhile for space missions. A real-time analysis is required for operations to go smoothly ahead. Manual effort or even mechanical one might not identify required changes, but there should be more active surveillance. This objective can be achieved where a more informed and vigilant mechanism is there. Artificial intelligence serves this need, and satellite image analysis in the space mission runs successfully.
Autonomous navigation and control of the spacecraft
Spacecraft are hard to handle manually because technical instructions guide their journey. Navigation of spacecraft needs assistance from artificial intelligence, which comes up with needs and requirements. Autonomous navigation might be risky, but AI has developed a foolproof and error-free mechanism as there have been crucial developments to this end. The navigation and control mechanism of spacecraft can be autonomous, but AI has made it more specific and dependable (Silvestrini & Lavagna, 2022). As a result, spacecraft can perform complex maneuvers and can accomplish their goals without a high level of risk (Silvestrini & Lavagna, 2022). AI is being used to let spacecraft perform their mission with other spacecraft and on space stations. The power of technology has been transforming the sector, but AI has revolutionized it in many ways. It has made it more innovative and protective, ensuring smooth functioning.
Anomaly and malfunctioning detection
Threats, risks, dangers, and anomalies can hurt a space mission and the functioning of a spacecraft. It can cause a catastrophe, especially when a space mission does not have room for a minute mistake. It is the reason why monitoring and surveillance are very crucial in a space mission. Artificial intelligence presents an opportunity for how space missions can detect and overcome anomalies and malfunctions that occur in their functioning. Autonomous and proactive features of AI enable the space sector to take a proactive act. In case there is any anomaly or malfunctioning, it is quick to detect that and respond accordingly (Furano, et al., 2020). Performance and any threat are interlinked but in opposite directions. Any danger or anomaly negatively affects performance, even if it does not cause complete disaster. Manual or traditional mechanisms for identification that might have loopholes cannot work. Though AI can also have loopholes, its proactive response is without any doubt. It is being used in the space sector for these features and will remain in use in the future as well. AI has made the sector more vigilant and confident in harm detection and its ability to respond to it. Detection of threats and anomalies makes AI a choice worth depending on. In areas and industries where the chance for a mistake is low, it is remarkable, like in the space program (Furano et al., 2020). It is an area that will be improving in the future as well because the nature and scale of threats is always growing in various sectors, including space programs.
Big data and the use of information using different sources.
Big data and information processing are vital areas of functioning for AI, and its algorithm enables it to do it effectively. The role of algorithms and data management is crucial significantly when data sources have increased. Today's systems and practices in different fields are subject to multiple sources of information and their analysis. Big data and intelligent data management are vital aspects of any system (Iqbal et al., 2020). The space sector recognizes the role of big data, but its management and analysis make a challenging situation. This is why artificial intelligence emerges as the opportunity to solve this problem, and all sorts of data should be used. Data means doors of opportunity for a space mission that should go to achieve maximum results. It is being used in the space sector, where AI provides detailed data and information about spacecraft, and it helps remove potential dangers (Iqbal et al., 2020). Refined and updated information assists in decision-making as well. Knowledge regarding the external environment further enriches the sector, even in its operations department. The use of AI provides plenty of avenues and opportunities for space, and it is set to evolve and grow into the future.
Predictive maintenance
Research has referred to the sensitive state of spacecraft missions that should be in line with the current, emerging, and future trends and needs. The level of intelligence needs to be perfect and proactive so that it can present the options required for the spacecraft mission. Research has noted that the use of artificial intelligence in spacecraft missions is proactive and dynamic (Lee, et al., 2019). Artificial intelligence has the intrinsic component of intelligence in that it thinks and presents solutions based on innovative minds and intelligence. The use of technology and advancement lets this intelligence be predictive and forward-looking, which helps the space sector to be predictive and forward-looking in every respect (Lee et al., 2019). With space missions having the least room for risks, it is being applied in predictive maintenance. It implies that space programs or missions employ predictive maintenance to serve present and future needs in the mission.
The role of data is again here, and AI is being used for managing and processing data. Data and information are essential in decision-making, and they also benefit in the area of predictive maintenance. Analysis of patterns, trends, and developments in the external environment and the internal climate presents room for maintenance and improvement. Predictive maintenance is the ability that artificial intelligence offers to the space mission. It is implemented in the space sector to enhance the ability of the program to be more effective and productive.
The Position of Artificial Intelligence in the Defense and Space Sector
The application of artificial intelligence is not confined to one sector, as the above discussion has taken the position in relation to the defense and space sectors. Both sectors present examples in their context while AI is being implemented in all industries, including business and personal. People are using AI at the individual level, where computer programs and robots perform tasks on their behalf. At the business level, the use of artificial intelligence is in getting more information and insights into the market and customers. The use of AI is so comprehensive and detailed that it extracts valuable information that helps in decision-making and transforming the business process (De Spiegeleire et al., 2017). It implies that the current application of AI in different sectors, especially in defense and space sectors, is aimed at improving their efficiency and performance. They can better position themselves in the market where they work if they use AI and its various applications. The defense and space sectors are especially suitable for AI, where strategic planning is essential (Jun et al., 2021). There is little room for mistakes or defects, and AI presents the opportunity to solve this issue for these sectors. In the following, there is the position taken on the way AI can be incorporated further in defense and space sectors.
Way it can further be incorporated into the Defense and Space Sector.
The incorporation of artificial intelligence in the defense and space sectors has been an ongoing process, as AI has presented an opportunity for these two sectors. The above discussion has ensured how it has been taking place. At the same time, there is a growing interest in how it can further be incorporated into these sectors. Research notes that there are some concerns about the application of AI in the defense sector, which relates to the protection of human lives (De Spiegeleire et al., 2017). In the space sector, concerns relate to the security and safety of those who are involved in the space mission. It implies that stakeholders interested in the application of AI in these sectors want to reap the benefits of the high efficiency and effectiveness of AI. At the same time, they also want to be careful in its application. Machines or artificial intelligence can be left independent only when there is perfect belief that it is going to work in the required manner. The following areas are where AI can further be incorporated, considering these sectors. These areas already have applications of AI, but they have debates on implementing AI or have room for further implementation.
Autonomous Weapon Systems
An ongoing debate is in the autonomous weapon system if AI can be effective in autonomous weapons systems. On the one hand, AI can enhance the responsiveness and automation of weapon systems, but it can also raise concerns about the responsible use of weapons (Schuller, 2017). It calls for human control or intervention in the decision-making process so that autonomous weapon systems are responsible. It raises ethical and legal considerations which should be addressed. Further progress into autonomous weapon systems can enhance the effectiveness of the defense sector. However, there must be strict parameters and criteria on how it should be used. It implies that autonomous weapons raise the need for extra layers of strength and protection. AI can work in that direction as well, but there should be a blend of intervention from humans and technology simultaneously.
Space exploration
Artificial intelligence has a significant role to play in space exploration as its autonomous role can do miracles. Research has noted that space exploration is an ongoing activity that is here to stay in the future (Kato, et al., 2019). Human interventions and involvement are also there, while space missions employ high-end technology and scientific knowledge. AI is unique in this context because it is beyond the current high-end technologies and scientific knowledge. It is to stay in business in the future, and AI can further be incorporated into this sector to make space exploration more specific and targeted (Kato et al., 2019). This area is set to benefit from AI in the future, and it has already been benefiting from it. Exploration and setting criteria to do this in space should be the priority. Currently, it is being done, and it should keep growing in scale.
Traffic management in space
Space missions are becoming a norm when many government and private missions are exploring there. Some companies have announced their space tourism programs and have strategic visions considering space. Satellite systems have already been using space for a long time, and many countries have an eye on space for defense purposes. It is the area that connects space and defense sectors and integrates them. It has increased space congestion, which is concerning for the future (Manfletti et al., 2023). The application of AI could solve this emerging issue and help steer the space traffic meaningfully. It could help avoid collision and improve satellite constellation coordination. At the same time, it is a very concerning area as well where responsibility from every corner is desired.
Data privacy and security
Artificial intelligence is autonomous and relates to the cyber world. It raises cybersecurity concerns that interactions over the internet are safe and confidential. There is considerable debate on the use of data and information. It raises concerns about its privacy and confidentiality along with ethical obligations. Therefore, AI can face reservations in data and information management. It calls for data privacy and security that can respond to the dynamic needs of stakeholders in the domain of artificial intelligence. Data passing through online mediums is personal and sensitive, and strong encryption and multi-layer security systems should be there (Abed & Anupam, 2023). It increases in significance in defense and space sectors, where data privacy and security are areas for further incorporation.
Predictive intelligence
It has already been in use in the AI domain, but it is the area that could be the attention for further application of AI. Predictive analysis is a unique feature of AI that uses intelligence systems to predict the future. Enhancing predictive intelligence capabilities offers room for further developments and improvements in the way AI affects other sectors. The incorporation of predictive intelligence helps not only current processes and operations but also affects cyber security and privacy and prevents emerging threats (De Spiegeleire et al., 2017). It ensures strategic developments, making AI more valuable and effective. Defense and space sectors could be beneficiaries of these features as AI could enrich these features into it.
Ethics and transparency
The position taken in this thesis elaborates on how artificial intelligence can be incorporated into the defense and space sectors. It is being used in these sectors, but there is room for further incorporation and implementation. However, ethics and transparency will remain to be areas to be addressed. Data and information management is a risky area, and autonomous systems must be developed to ensure it (Renda, 2019). Therefore, the soft attributes of AI should be taken into consideration by the defense and space sectors when it is implemented.
Conclusion
The thesis concludes that AI is being used in various sectors, especially in the defense and space sectors. The focus of this paper has been on these sectors that benefit from autonomous and intelligence-based systems under AI. Detailed discussion on this topic has elaborated on how AI transforms these sectors, but it also indicates the need for further incorporation of AI. It makes this thesis future-looking and calls for responsibility, transparency, and ethics in applying AI in these sectors. Predictive intelligence systems, space traffic and exploration efforts, autonomous weapon systems, and more developments in these sectors are areas for further incorporation of AI. The thesis recommends considering responsibility and ethics so that AI benefits everyone and ensures a sustainable future for everyone ahead.
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