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Explainable AI in Military Training Applications
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Author(s): Azeem Khan (University Islam Sultan Sharif Ali, Brunei), Noor Zaman Jhanjhi (Taylor's University, Malaysia), Dayang Hajah Tiawa Binti Awang Haji Hamid (University Islam Sultan Sharif Ali, Brunei)and Haji Abdul Hafidz bin Haji Omar (University Islam Sultan Sharif Ali, Brunei)
Copyright: 2024
Pages: 36
Source title:
Advances in Explainable AI Applications for Smart Cities
Source Author(s)/Editor(s): Mangesh M. Ghonge (Sandip Institute of Technology and Research Centre, India), Nijalingappa Pradeep (Bapuji Institute of Engineering and Technology, India), Noor Zaman Jhanjhi (School of Computer Science, Faculty of Innovation and Technology, Taylor’s University, Malaysia)and Praveen M. Kulkarni (Karnatak Law Society's Institute of Management Education and Research (KLS IMER), Belagavi, India)
DOI: 10.4018/978-1-6684-6361-1.ch007
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Abstract
This chapter provides an in-depth examination of the current use of artificial intelligence (AI) in military training applications, with a specific focus on the importance of explainability in these systems. The chapter begins by introducing the concept of AI in military training and discussing the challenges that come with building complex and efficient systems that can explain their decision-making processes. The chapter emphasizes the significance of explainability in military training applications, explaining how it enhances trust, transparency, and accountability. Furthermore, the chapter discusses the use of explainable AI in military simulations and presents a case study that demonstrates how it can be used to improve military training simulations and enhance decision-making in real-life scenarios.
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