Papers

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E
Hacker, P., Krestel, R., Grundmann, S., & Naumann, F.. (2020). Explainable AI under contract and tort law: legal incentives and technical challenges. Artificial Intelligence And Law. https://doi.org/10.1007/s10506-020-09260-6
Marjanovic, O., & Cecez-Kecmanovic, D.. (2017). Exploring the tension between transparency and datification effects of open government IS through the lens of Complex Adaptive Systems. The Journal Of Strategic Information Systems, 26(3), 210 - 232. https://doi.org/10.1016/j.jsis.2017.07.001
Harini, B. (2019). An Extensive Review on Recent Emerging Applications of Artificial Intelligence. Asia-Pacific Journal Of Convergent Research Interchange, 5(2), 79 - 88. https://doi.org/10.21742/apjcri10.21742/apjcri.2019.0610.21742/apjcri.2019.06.09
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Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
PDF icon HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)
Doroudi, S., & Brunskill, E.. (2019). Fairer but not fair enough on the equitability of knowledge tracing. In the 9th International ConferenceProceedings of the 9th International Conference on Learning Analytics & Knowledge - LAK19 (335 - 339). https://doi.org/10.1145/3303772.3303838
Reid-musson, E., Cockayne, D., Frederiksen, L., & Worth, N.. (2020). Feminist economic geography and the future of work. Epa: Economy And Space, 1–12. https://doi.org/10.1177/0308518X20947101
Domingos, P. (2012). A few useful things to know about machine learning. Communications Of The Acm, 55(10), 78. https://doi.org/:10.1145/2347736.2347755
Lopez, J. Amador Dia, Molina-Solana, M., & Kennedy, M. T.. (2018). foo.castr: visualising the future AI workforce. Big Data Analytics, 3(1). https://doi.org/10.1186/s41044-018-0034-z
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46 - 60. https://doi.org/10.1016/j.futures.2017.03.006
Kim, S. Yun. (2019). The fourth industrial revolution: Trends and impacts on the world of work (pp. 177 - 194; S. McGrath, Mulder, M., Papier, J., & Suart, R., Eds.). In (pp. 177 - 194). https://doi.org/10.1007/978-3-319-94532-3_115
Paikari, E., & van der Hoek, A.. (2018). A framework for understanding chatbots and their future (H. Sharp, de Souza, C. R. B., Graziotin, D., Levy, M., & Socha, D., Trans.). In the 11th International WorkshopProceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering - CHASE '18 (13 - 16). https://doi.org/10.1145/3195836.3195859
Suran, S., Pattanaik, V., & Draheim, D.. (2020). Frameworks for collective intelligence: A systematic literature review. In ACM Computing Surveys (pp. 1–36). https://doi.org/10.1145/3368986

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