Papers

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Mlynar, J., Alavi, H. S., Verma, H., & Cantoni, L.. (2018). Towards a Sociological Conception of Artificial Intelligence. In Artificial General Intelligence (AGI). Presented at the Artificial General Intelligence (AGI). https://doi.org/10.1007/978-3-319-97676-1_13
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. https://doi.org/10.1142/S0218843007001640
Herzenberg, S., & Alic, J.. (2019). Towards an AI economy that works for all. In Keystone Research Center Future of Work Project sponsored by The Heinz Endowments. Retrieved de https://www.keystoneresearch.org/sites/default/files/FOW_TowardAIEconomyForAllFinalEdit.pdf
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
BUITEN, M. C. (2019). Towards intelligent regulation of Artificial Intelligence. European Journal Of Risk Regulation, 10(1), 41 - 59. https://doi.org/10.1017/err.2019.8
Fiore, S. M., Philips, E., & Sellers, B. C.. (2014). A transdisciplinary perspective on hedonomic sustainability design. Economics In Design. https://doi.org/10.1177%2F1064804613516762
Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y.. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358 - 367. https://doi.org/10.1016/j.giq.2018.10.001
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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
Begeer, S., Bouk, S. El, Boussaid, W., Terwogt, M. Meerum, & Koot, H. M.. (2009). Under diagnosis and referral bias of autism in ethnic minorities. Journal Of Autism And Developmental Disorders, 39(1), 142 - 148. https://doi.org/10.1007/s10803-008-0611-5
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
Toxtli, C., & Monroy-Hernández, A.. (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
Tsvetkova, M., Yasseri, T., Meyer, E. T., J. Pickering, B., Engen, V., Walland, P., et al.. (2017). Understanding human-machine networks. Acm Computing Surveys, 50(1), 1 - 35. https://doi.org/10.1145/3039868
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
Morgeson, F. P., Dierdorff, E. C., & Hmurovic, J. L.. (2010). Understanding the role of occupational and organizational context. Journal Of Organizational Behavior, 31(2-3), 351 - 360. https://doi.org/10.1002/job.642
Bechmann, A., & Bowker, G. C.. (2019). Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media. Big Data & Society, 6(1), 205395171881956. https://doi.org/10.1177/2053951718819569
Clément, M., & Guitton, M. J.. (2015). Users’ reactions to actions of automated programs in Wikipedia. Computers In Human Behavior, 50, 66 - 75. https://doi.org/10.1016/j.chb.2015.03.078
Flynn, A. (2019). Using artificial intelligence in health-system pharmacy practice: Finding new patterns that matter. American Journal Of Health-System Pharmacy, 76(9), 622 - 627. https://doi.org/10.1093/ajhp/zxz018

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