Papers

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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. https://doi.org/10.1016/b978-0-12-817133-2.00011-2
Khan, S. Rafi. (2018). Reinventing capitalism to address automation: Sharing work to secure employment and income. Competition & Change, 22(4), 343 - 362. https://doi.org/10.1177/1024529418783579
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). https://doi.org/10.1007/978-3-030-12334-5_5
King, J. Leslie, & Grudin, J.. (2016). Will computers put us out of work?. Computer, 49(5), 82 - 85. https://doi.org/10.1109/MC.2016.126
Kirkpatrick, K. (2017). AI in contact centers. Communications Of The Acm, 60(8), 18 - 19. https://doi.org/10.1145/312734310.1145/3105442
Kirsch, C., Troxier, P., & Ulich, E.. (1995). Integration of people, technology and organization: the european approach. In International Conference on Human-Computer Interaction (HCI International) (pp. 957-961). Tokyo, Japan: Elsevier.
Kitchin, R. (2017). Thinking critically about and researching algorithms. Information, Communication & Society, 20(1), 14 - 29. https://doi.org/10.1080/1369118X.2016.1154087
Kittur, A., Nickerson, J. V., Bernstein, M. S., Gerber, E., Shaw, A., Zimmerman, J., et al.. (2013). The future of crowd work. In Proceedings of the 2013 conference on Computer supported cooperative work (1301–1318). ACM.
Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., et al.. (2019). Scaling up analogical innovation with crowds and AI. Proceedings Of The National Academy Of Sciences, 116(6), 1870-1877. https://doi.org/10.1073/pnas.1807185116
Kokina, J., & Davenport, T. H.. (2017). How automation is changing auditing. Journal Of Emerging Technologies In Accounting, 14(1), 115 - 122. https://doi.org/10.2308/jeta-51730
Köse, U.. (2017). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. In Scientific Methods in Academic Research and Teaching International Conference (184-197).
Kraemer, F., van Overveld, K., & Peterson, M.. (2011). Is there an ethics of algorithms?. Ethics And Information Technology, 13(3), 251 - 260. https://doi.org/10.1007/s10676-010-9233-7
Gill, K. S. (2019). Designing AI futures: A symbiotic vision (Vol. 1083, pp. 3 - 18; A. G. Kravets, Groumpos, P. P., Shcherbakov, M., & Kultsova, M., Eds.). In (Vol. 1083, pp. 3 - 18). https://doi.org/10.1007/978-3-030-29743-5_1
Galanos, V. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide (Vol. 537, pp. 359 - 373; D. Kreps, Ess, C., Leenen, L., & Kimppa, K., Eds.). In (Vol. 537, pp. 359 - 373). https://doi.org/10.1007/978-3-319-99605-9_27
Galanos, V. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide (Vol. 537, pp. 359 - 373; D. Kreps, Ess, C., Leenen, L., & Kimppa, K., Eds.). In (Vol. 537, pp. 359 - 373). https://doi.org/10.1007/978-3-319-99605-9_27
Krupiy, T. Tanya. (2020). A vulnerability analysis : Theorising the impact of artificial intelligence decision-making processes on individuals , society and human diversity from a social justice perspective. Computer Law & Security Review: The International Journal Of Technology Law And Practice, 38, 105429. https://doi.org/10.1016/j.clsr.2020.105429

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