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2021 | OriginalPaper | Chapter

3. Artificial Intelligence and Future of Systems Engineering

Authors : Thomas A. McDermott, Mark R. Blackburn, Peter A. Beling

Published in: Systems Engineering and Artificial Intelligence

Publisher: Springer International Publishing

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Abstract

The chapter delves into the digital transformation of systems engineering, driven by AI and machine learning (ML). It introduces the roadmap developed by the Systems Engineering Research Center (SERC) to guide research in AI and autonomy. The roadmap envisions a future where humans and machines co-learn, requiring new engineering methods, tools, and processes. Key aspects include the need for transparency and trust in AI systems, the development of robust and predictable AI-driven systems, and the adaptation of test and evaluation processes to co-learning environments. The chapter also discusses the integration of digital engineering, AI/ML technology evolution, automation, human-machine teaming, and augmented engineering. It emphasizes the importance of workforce development in integrating AI with systems engineering and human systems integration. The chapter stands out by providing a holistic view of the future of systems engineering in the era of AI, addressing both the opportunities and challenges ahead.

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Metadata
Title
Artificial Intelligence and Future of Systems Engineering
Authors
Thomas A. McDermott
Mark R. Blackburn
Peter A. Beling
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-77283-3_3

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