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Jennings, N. R., Moreau, L., Nicholson, D., Ramchurn, S., Roberts, S., Rodden, T., & Rogers, A.. (2014). Human-agent collectives. Communications Of The Acm, 57(12), 80 - 88. https://doi.org/10.1145/269296510.1145/2629559
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Natale, S., & Ballatore, A.. (2017). Imagining the thinking machine. Convergence: The International Journal Of Research Into New Media Technologies, 135485651771516. https://doi.org/10.1177/1354856517715164
Avati, A., Jung, K., Harman, S., Downing, L., Ng, A., & Shah, N. H.. (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8
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Johnson, A. E. W., Ghassemi, M. M., Nemati, S., Niehaus, K. E., Clifton, D., & Clifford, G. D.. (2016). Machine learning and decision support in critical care. Proceedings Of The Ieee, 104(2), 444 - 466. https://doi.org/10.1109/JPROC.2015.2501978
Johnson, A. E. W., Ghassemi, M. M., Nemati, S., Niehaus, K. E., Clifton, D., & Clifford, G. D.. (2016). Machine learning and decision support in critical care. Proceedings Of The Ieee, 104(2), 444 - 466. https://doi.org/10.1109/JPROC.2015.2501978
Winn, A. N., & Neuner, J. M.. (2018). Making Sure We Don’t Forget the Basics When Using Machine Learning. Jnci: Journal Of The National Cancer Institute, 111(6), 529 - 530. https://doi.org/10.1093/jnci/djy179
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Nelson, A. J., & Irwin, J.. (2014). Occupational identity, technological change, and the librarian/internet-search relationship. Academy Of Management Journal, 57(3), 892 - 928. https://doi.org/10.5465/amj.2012.0201
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Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
Malone, T. W., Nickerson, J. V., Laubacher, R. J., Fisher, L. Hesse, de Boer, P., Han, Y., & Ben Towne, W.. (2017). Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving. In Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (1661–1674). https://doi.org/10.1145/2998181.2998343
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Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., et al.. (2019). Scaling up analogical innovation with crowds and AI. Proceedings Of The National Academy Of Sciences, 116(6), 1870-1877. https://doi.org/10.1073/pnas.1807185116
Lee, H., Kwon, H., Robinson, R. M., Nothwang, W. D., & Marathe, A. R.. (2016). SPIE ProceedingsAn efficient fusion approach for combining human and machine decisions. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications VIII (9836, 983621). https://doi.org/10.1117/12.2220788
Metcalfe, J. S., Marathe, A. R., Haynes, B., Paul, V. J., Gremillion, G. M., Drnec, K., et al.. (2017). SPIE ProceedingsBuilding a framework to manage trust in automation. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX (10194, 101941U). https://doi.org/10.1117/12.2264245
Galliers, R. D., Newell, S., Shanks, G., & Topi, H.. (2017). The strategic opportunities and challenges of algorithmic decision-making. The Journal Of Strategic Information Systems, 26(3), 185 - 190. https://doi.org/10.1016/j.jsis.2017.08.002
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Ferreira, P., Teixeira, J. Grenha, & Teixeira, L. F.. (2020). Understanding the Impact of Artificial Intelligence on Services. In International Conference on Exploring Services Science (1, 202–213). https://doi.org/10.1007/978-3-030-38724-2

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