@article{1440791,
      recid = {1440791},
      author = {Lawless, William F. and Mittu, Ranjeev, and Sofge, Donald  A., and Shortell, Thomas M., and McDermott, Thomas A.},
      title = {Systems engineering and artificial intelligence/},
      publisher = {Springer,},
      address = {Cham, Switzerland :},
      pages = {1 online resource},
      year = {2021},
      abstract = {This book provides a broad overview of the benefits from a  Systems Engineering design philosophy in architecting  complex systems composed of artificial intelligence (AI),  machine learning (ML) and humans situated in chaotic  environments. The major topics include emergence,  verification and validation of systems using AI/ML and  human systems integration to develop robust and effective  human-machine teams' here the machines may have varying  degrees of autonomy due to the sophistication of their  embedded AI/ML. The chapters not only describe what has  been learned, but also raise questions that must be  answered to further advance the general Science of  Autonomy. The science of how humans and machines operate as  a team requires insights from, among others, disciplines  such as the social sciences, national and international  jurisprudence, ethics and policy, and sociology and  psychology. The 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 failures, ethical standards shape  global policy, and sociology provides a basis for  understanding team norms across cultures. Insights from  psychology may help us to understand the negative impact on  humans if AI/ML based machines begin to outperform their  human teammates and consequently diminish their value or  importance. This book invites professionals and the curious  alike to witness a new frontier open as the Science of  Autonomy emerges.},
      url = {http://library.usi.edu/record/1440791},
      doi = {https://doi.org/10.1007/978-3-030-77283-3},
}