Papers

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Coelho, H. (2018). Reflections on the meaning of automated education. Education Policy Analysis Archives, 26, 115. https://doi.org/10.14507/epaa.26.3863
Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., et al.. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653
Grant, A. M., & Parker, S. K.. (2009). Redesigning work design theories: The rise of relational and proactive perspectives. The Academy Of Management Annals, 3(1), 317 - 375. https://doi.org/10.1080/19416520903047327
Savola, H., & Troqe, B.. (2019). Recruiters just wanna have AI? (Spring semester 2019 ed.). In Department of Management and Engineering (Spring semester 2019 ed.). Retrieved de https://liu.diva-portal.org/smash/get/diva2:1333711/FULLTEXT01.pdf
Oakden-Rayner, L. (2019). The Rebirth of CAD: How Is Modern AI Different from the CAD We Know?. Radiology: Artificial Intelligence, 1(3), e180089. https://doi.org/10.1148/ryai.2019180089
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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
Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
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Taylor, F. W. (1911). The Principles of Scientific Management. New York: Norton & Company.
Raj, M., & Seamans, R.. (2019). Primer on artificial intelligence and robotics. Journal Of Organization Design, 8(1). https://doi.org/10.1186/s41469-019-0050-0
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
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. https://doi.org/10.18662/po/35

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