Corpus ID: 236469480

Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective

@article{Zhang2021TowardIH,
  title={Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective},
  author={Cheng Zhang and Jinwoo Kim and JungHo Jeon and Jinding Xing and Changbum Ryan Ahn and Pingbo Tang and Hubo Cai},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.13498}
}
  • Cheng Zhang, Jinwoo Kim, +4 authors Hubo Cai
  • Published 2021
  • Computer Science
  • ArXiv
The purpose of this paper is to examine the opportunities and barriers of Integrated HumanMachine Intelligence (IHMI) in civil engineering. Integrating artificial intelligence’s high efficiency and repeatability with humans’ adaptability in various contexts can advance timely and reliable decision-making during civil engineering projects and emergencies. Successful cases in other domains, such as biomedical science, healthcare, and transportation, showed the potential of IHMI in data-driven… Expand

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