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Correia, A., Jameel, S., Paredes, H., Fonseca, B., & Schneider, D.. (2019). Steps toward a scaffolding design framework (pp. 149 - 161; V. - J. Khan, Papangelis, K., Lykourentzou, I., & Markopoulos, P., Eds.). In (pp. 149 - 161).
Khan, S. Rafi. (2018). Reinventing capitalism to address automation: Sharing work to secure employment and income. Competition & Change, 22(4), 343 - 362.
Kernbach, J. M., & Staartjes, V. E.. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278.
Kellogg, K. C., Valentine, M. A., & Christin, A.. (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410.
Kelley, K. H., Fontanetta, L. M., Heintzman, M., & Pereira, N.. (2018). Artificial intelligence: Implications for social inflation and insurance. Risk Management And Insurance Review, 21(3), 373 - 387.
Kassens-Noor, E., & Hintze, A.. (2020). Cities of the Future? The Potential Impact of Artificial Intelligence. Ai, 1, 192–197.
Karwowski, Ain Intelli. (2018). Advances in intelligent systems and computing. In Proceedings of the 1st International Conference on Intelligent Human Systems Integration. Retrieved de
Karabarbounis, L., & Neiman, B.. (2014). The global decline of the labor share. The Quarterly Journal Of Economics, 129(1), 61 - 103.
Kao, Y. - F., & Venkatachalam, R.. (2018). Human and Machine Learning. Computational Economics.
Kamali, K., Fan, X., & Yen, J. O. H. N. John. (2007). Towards a theory for multiparty proactive communication in agent teams. International Journal Of Cooperative Information Systems, 16(02), 271 - 298.