Papers

Export 11 results:
2018
Stoeckli, E., Uebernickel, F., & Brenner, W.. (2018). Towards an understanding of how chatbots create value (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 51st Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2018.255
Chee, F. M. (2018). An Uber ethical dilemma: examining the social issues at stake. Journal Of Information, Communication And Ethics In Society, 16(3), 261 - 274. https://doi.org/10.1108/JICES-03-2018-0024
Toxtli, C., Monroy-Hernández, A., & Cranshaw, J.. (2018). Understanding Chatbot-mediated Task Management (R. Mandryk, Hancock, M., Perry, M., & Cox, A., Trans.). In the 2018 CHI ConferenceProceedings of the 2018 CHI Conference on Human Factors in Computing Systems - CHI '18 (1 - 6). https://doi.org/10.1145/317357410.1145/3173574.3173632
Willis, M., & Meyer, E. T.. (2018). Understanding tasks, automation, and the national health service (Vol. 10766, pp. 544 - 549; G. Chowdhury, McLeod, J., Gillet, V., & Willett, P., Eds.). In (Vol. 10766, pp. 544 - 549). https://doi.org/10.1007/978-3-319-78105-1_60
Prainsack, B., & Buyx, A.. (2018). The value of work: Addressing the future of work through the lens of solidarity. Bioethics, 32(9), 585 - 592. https://doi.org/ 10.1111/bioe.12507
Meskó, B., Hetényi, G., & Győrffy, Z.. (2018). Will artificial intelligence solve the human resource crisis in healthcare?. Bmc Health Services Research, 18(1). https://doi.org/10.1186/s12913-018-3359-4
WIllis, M., & Meyer, E. T.. (2018). Work that Enables Care: Understanding Tasks, Automation, and the National Health Service. In iConference. Presented at the iConference. https://doi.org/10.1007/978-3-319-78105-1_60
Faraj, S., Pachidi, S., & Sayegh, K.. (2018). Working and organizing in the age of the learning algorithm. Information And Organization, 28. https://doi.org/10.1016/j.inforandorg.2018.02.005
Faraj, S., Pachidi, S., & Sayegh, K.. (2018). Working and organizing in the age of the learning algorithm. Information And Organization, 28(1), 62 - 70. https://doi.org/10.1016/j.infoandorg.2018.02.005
2017
Voosen, P. (2017). The AI detectives. Science, pp. 22 - 27. https://doi.org/10.1126/science.357.6346.22
Pennisi, E. (2017). AI in Action: Combing the genome for the roots of autism. Science, 357(6346), 25 - 25. https://doi.org/10.1126/science.357.6346.25
Sokol, J. (2017). AI in Action: Machines that make sense of the sky. Science, 357(6346), 26 - 26. https://doi.org/10.1126/science.357.6346.26
Kirkpatrick, K. (2017). AI in contact centers. Communications Of The Acm, 60(8), 18 - 19. https://doi.org/10.1145/312734310.1145/3105442
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
Bucher, T. (2017). The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms. Information, Communication & Society, 20(1), 30 - 44. https://doi.org/10.1080/1369118X.2016.1154086

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