Joint human and autonomy teaming for defense: status, challenges, and perspectives

Hassan El Alami; Mary Nwosu; Danda B. Rawat

doi:10.1117/12.2665399

12 June 2023 Joint human and autonomy teaming for defense: status, challenges, and perspectives

Hassan El Alami, Mary Nwosu, Danda B. Rawat

Proceedings Volume 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V; 125380M (2023) https://doi.org/10.1117/12.2665399
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Human and Autonomy Teaming (HAT) involves humans, artificial intelligence and machine learning (AI/ML), and autonomous systems (AS) working together to enhance performance and efficiency across a variety of fields. The purpose of this paper is to outline the current status, challenges, and perspectives related to HAT in the defense applications, such as multi-domain operations (MDOs). This paper emphasizes that, although ASs have numerous benefits, humans, and machines need to work together to ensure effective communication and coordination. Furthermore, this paper addresses the issues of situation awareness, HAT bias, security, privacy, confidentiality, trust, transparency, and explainability as they relate to joint HAT in MDOs. Finally, this paper explores the potential of perspectives to overcome these challenges and enhance collaboration between humans, AI/ML, and AS in the context of defense.

Citation Download Citation

Hassan El Alami, Mary Nwosu, and Danda B. Rawat "Joint human and autonomy teaming for defense: status, challenges, and perspectives", Proc. SPIE 12538, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications V, 125380M (12 June 2023); https://doi.org/10.1117/12.2665399

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