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Leveringhaus, A. (2018). Developing robots: The need for an ethical framework. European View, 17(1), 37 - 43. https://doi.org/10.1177/1781685818761016
Lutz, C. (2019). Digital inequalities in the age of artificial intelligence and big data. Human Behavior And Emerging Technologies, 1(2), 141 - 148. https://doi.org/10.1002/hbe2.140
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Markus, L. M. (2017). Datification, organizational strategy, and is research: What’s the score? . The Journal Of Strategic Information Systems, 26(3), 233 - 241. https://doi.org/10.1016/j.jsis.2017.08.003
Mart'nez-Plumed, F., Tolan, S. 'l, Pesole, A., Hern'ndez-Orallo, J., Fern'ndez-Mac'as, E., & G'mez, E.. (2020). Does AI qualify for the job? A bidirectional model mapping labour and AI intensities. In AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (94–100). https://doi.org/10.1145/3375627.3375831
Miotto, R., Wang, F., Wang, S., Jiang, X., & Dudley, J. T.. (2017). Deep learning for healthcare: review, opportunities and challenges. Briefings In Bioinformatics, 19(6), 1236 - 1246. https://doi.org/10.1093/bib/bbx044
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Robinson, R. M., McCount, M. J., Marathe, A. R., Nothwang, W. D., & Doucette, E. A.. (2016). Degree of Automation in Command and Control Decision Support Systems. In IEEE International Conference on Systems, Man and Cybernetics. Presented at the IEEE International Conference on Systems, Man and Cybernetics. Retrieved de https://ieeexplore.ieee.org/document/7844402
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Storey, M. - A., & Zagalsky, A.. (2016). Disrupting developer productivity one bot at a time (T. Zimmermann, Cleland-Huang, J., & Su, Z., Trans.). In the 2016 24th ACM SIGSOFT International SymposiumProceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering - FSE 2016 (928 - 931). https://doi.org/10.1145/2950290.2983989

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