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Willcocks, L. (2020). Robo-Apocalypse cancelled? Reframing the automation and future of work debate. In Journal of Information Technology. https://doi.org/10.1177/0268396220925830
Williamson, B. (2017). Computing brains: Learning algorithms and neurocomputation in the smart city. Information, Communication & Society, 20(1), 81 - 99. https://doi.org/10.1080/1369118X.2016.1181194
WIllis, M., & Meyer, E. T.. (2018). Work that Enables Care: Understanding Tasks, Automation, and the National Health Service. In iConference. Presented at the iConference. https://doi.org/10.1007/978-3-319-78105-1_60
Willson, M. (2017). Algorithms (and the) everyday. Information, Communication & Society, 20(1), 137 - 150. https://doi.org/10.1080/1369118X.2016.1200645
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
Winter, J. Sunrise, & Davidson, E.. (2019). Governance of artificial intelligence and personal health information. Digital Policy, Regulation And Governance, 21(3), 280 - 290. https://doi.org/10.1108/DPRG-08-2018-0048
Woods, D. D., Patterson, E. S., & Roth, E. M.. (2002). Can we ever escape from data overload? A cognitive systems diagnosis. Cognition, Technology & Work, 4(1), 22 - 36. https://doi.org/10.1007/s101110200002
Wright, S. A., & Schultz, A. E.. (2018). Developing an ethical framework. Business Horizons, 61(6), 823 - 832. https://doi.org/10.1016/j.bushor.2018.07.001
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Xu, P., Dherbomez, G., Hery, E., Abidli, A., & Bonnifait, P.. (2018). System architecture of a driverless electric car in the grand cooperative driving challenge. Ieee Intelligent Transportation Systems Magazine, 10(1), 47 - 59. https://doi.org/10.1109/MITS.2017.2776135

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