Titlebook: SystemsEngineering and Artificial Intelligence; William F. Lawless,Ranjeev Mittu,Thomas A. McDermo Book 2021 Springer Nature Switzerland A

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,Effective Human–Artificial Intelligence Teaming, of Team Science; Board on Behavioral, Cognitive, and Sensory Sciences; Division of Behavioral and Social Sciences and Education; National Research Council, National Academies Press, 2015). This book chapter allows me to review the considerable research experiences we have gained from our studies ov

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Human-Autonomy Teaming for the Tactical Edge: The Importance of Humans in Artificial Intelligence Rsts include: (1) Enabling Soldiers to predict AI; (2) Quantifying Soldier understanding for AI; (3) Soldier-guided AI adaptation; and (4) Characterizing Soldier-AI performance. These research thrusts are the organizing basis for explaining a path toward integration and effective human-autonomy teami

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Digital Twin Industrial Immune System: AI-driven Cybersecurity for Critical Infrastructures,plores its applicability to address the needs of cyber defenders to critical energy infrastructures; applicability is explored through opportunities and challenges related to human–machine teams as well as the process and technology; (iii) includes validation and verification of findings when the te

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,Contextual Evaluation of Human–Machine Team Effectiveness,nation gap, we introduce a context-specific interference-based methodology to evaluate human-machine team effectiveness. Interference provides a measure that reflects the cohesiveness and compatibility between the goals of the human and the machine agents. Context is essential as human-machine teams

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Book 2021The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failu

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