Papers

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A
Lysaght, T., Lim, H. Yeefen, Xafis, V., & Ngiam, K. Yuan. (2019). AI-Assisted Decision-making in Healthcare. Asian Bioethics Review, 11(3), 299 - 314. https://doi.org/10.1007/s41649-019-00096-0
Neyland, D., & Möllers, N.. (2017). Algorithmic IF  … THEN rules and the conditions and consequences of power. Information, Communication & Society, 20(1), 45 - 62. https://doi.org/10.1080/1369118X.2016.1156141
Nichols, J. A., Chan, H. W. Herbert, & Baker, M. A. B.. (2019). Applications of artificial intelligence to imaging and diagnosis. Biophysical Reviews, 11(1), 111 - 118. https://doi.org/10.1007/s12551-018-0449-9
Gries, T., & Naude, W.. (2018). Artificial intelligence, jobs, inequality and productivity: Does aggregate demand matter. In Maastricht Economic and social Research institute on Innovation and Technology. Retrieved de http://ftp.iza.org/dp12005.pdf
Shen, S., & Neyens, D. M.. (2017). Assessing drivers' response during automated driver support system failures with non-driving tasks. Journal Of Safety Research, 61, 149 - 155. https://doi.org/10.1016/j.jsr.2017.02.009
C
Di Prospera, A., norouzi, N., Fokaefs, M., & Litoiu, M.. (2017). Chatbots as assistants, an architectural framework. In CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering. Retrieved de https://dl.acm.org/citation.cfm?id=3172805
Nam, T. (2019). Citizen attitudes about job replacement by robotic automation. Futures, 109, 39 - 49. https://doi.org/10.1016/j.futures.2019.04.005
Nathan, L. F. (2018). Creativity, the arts, and the future of work (pp. 283 - 310; J. W. Cook, Ed.). In (pp. 283 - 310). https://doi.org/10.1007/978-3-319-78580-6_9
G
Karabarbounis, L., & Neiman, B.. (2014). The global decline of the labor share. The Quarterly Journal Of Economics, 129(1), 61 - 103. https://doi.org/10.1093/qje/qjt032
H
Jennings, N. R., Moreau, L., Nicholson, D., Ramchurn, S., Roberts, S., Rodden, T., & Rogers, A.. (2014). Human-agent collectives. Communications Of The Acm, 57(12), 80 - 88. https://doi.org/10.1145/269296510.1145/2629559
I
Natale, S., & Ballatore, A.. (2017). Imagining the thinking machine. Convergence: The International Journal Of Research Into New Media Technologies, 135485651771516. https://doi.org/10.1177/1354856517715164
Avati, A., Jung, K., Harman, S., Downing, L., Ng, A., & Shah, N. H.. (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8

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