Papers

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Kühl, N., Goutier, M., Hirt, R., & Satzger, G.. (2019). Machine learning in Artificial Intelligence: Towards a common understanding (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.630
von Wolff, R. Meyer, Hobert, S., & Schumann, M.. (2019). Proceedings of the Annual Hawaii International Conference on System SciencesHow May I Help You? – State of the Art and Open Research Questions for Chatbots at the Digital Workplace (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.013
Bittner, E., & Shoury, O.. (2019). A chatbot for supporting teams in the empathy map method (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.029
Berntzen, M., & Wong, S. I.. (2019). The roles of initiated and received task interdependence (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.119
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
Burden, D. J. H. (2009). Deploying embodied AI into virtual worlds. Knowledge-Based Systems, 22(7), 540 - 544. https://doi.org/10.1016/j.knosys.2008.10.001
Burrell, J. (2016). How the machine ‘thinks’: Understanding opacity in machine learning algorithms. Big Data & Society, 3(1), 205395171562251. https://doi.org/10.1177/2053951715622512
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
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Cai, L., Fan, L., Lai, W., LONG, Y., Wang, P., & Xin, X.. (2018). DEFINITION, APPLICATION AND INFLUENCE OF ARTI FICIAL INTELLIGENCE ON DESIGN INDUSTRIES. Landscape Architecture Frontiers, 6(2), 56. https://doi.org/10.15302/J-LAF-20180207
Caruana, R., Lou, Y., Gehrke, J., Koch, P., Sturm, M., & Elhadad, N.. (2015). Intelligible Models for HealthCare (L. Cao, Zhang, C., Joachims, T., Webb, G., Margineantu, D. D., & Williams, G., Trans.). In the 21th ACM SIGKDD International ConferenceProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - KDD '15 (1721 - 1730). https://doi.org/10.1145/278325810.1145/2783258.2788613
Carpini, J. A., Parker, S. K., & Griffin, M. A.. (2017). A review and synthesis of the individual work performance literature. Academy Of Management Annals, 11(2), 825 - 885. https://doi.org/10.5465/annals.2015.0151
Carter, D. (2018). How real is the impact of artificial intelligence? The business information survey 2018. Business Information Review, 35(3), 99 - 115. https://doi.org/10.1177/0266382118790150
Cascio, W. F., & Montealegre, R.. (2016). How technology is changing work and organizations. Annual Review Of Organizational Psychology And Organizational Behavior, 3(1), 349 - 375. https://doi.org/10.1146/annurev-orgpsych-041015-062352
Cascio, W. F., & Montealegre, R.. (2016). How technology is changing work and organizations. Annual Review Of Organizational Psychology And Organizational Behavior, 3(1), 349 - 375. https://doi.org/10.1146/annurev-orgpsych-041015-062352
Chan, S., & Siegel, E. L.. (2019). Will machine learning end the viability of radiology as a thriving medical specialty?. The British Journal Of Radiology, 92(1094), 20180416. https://doi.org/10.1259/bjr.20180416
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

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