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Sampson, S. (2020). Predicting Automation of Professional Jobs in Healthcare. In Proceedings of the 53rd Hawaii International Conference on System Sciences (3, 3529–3537).
Metcalf, L., Askay, D. A., & Rosenberg, L. B.. (2019). Pooling knowledge through artificial swarm intelligence to improve business decision making. California Management Review, 61(4), 84 - 109.
Davenport, T., & Kalakota, R.. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94 - 98.
Pugh, A. J. (2019). Precarious lives: Job insecurity and well-being in rich democracies. Social Forces, 97(4), e1 - e3.
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.
Raj, M., & Seamans, R.. (2019). Primer on artificial intelligence and robotics. Journal Of Organization Design, 8(1).
Anani, N. (2018). Paving the way for the future of work. Canadian Public Policy, 1 - 10.
Rotila, V. (2018). The predictions on the future of labour are not grounded; some arguments for a bayesian approach. Postmodern Openings, 9(3), 36 - 63.
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).