Papers

Export 9 results:
Filters: First Letter Of Title is F  [Clear All Filters]
Conference Paper
Unknown,, 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
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
Kittur, A., Nickerson, J. V., Bernstein, M. S., Gerber, E., Shaw, A., Zimmerman, J., et al.. (2013). The future of crowd work. In Proceedings of the 2013 conference on Computer supported cooperative work (1301–1318). ACM.
Dellermann, D., Calma, A., Lipusch, N., Weber, T., Weigel, S., & Ebel, P.. (2019). The future of human-AI collaboration: A taxonomy of design knowledge for hybrid intelligence systems. In Hawaii International Conference on System Sciences (HICSS). Presented at the Hawaii International Conference on System Sciences (HICSS). Retrieved de https://www.alexandria.unisg.ch/publications/254994
Conference Proceedings
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)
Journal Article
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
Hoc, J. - M. (2000). From human – machine interaction to human – machine cooperation. Ergonomics, 43(7), 833 - 843. https://doi.org/10.1080/001401300409044
Madakam, S., Holmukhe, R. M., & Jaiswal, D. Kumar. (2019). The future digital work force: Robotic process automation (RPA). Journal Of Information Systems And Technology Management, 16. https://doi.org/10.4301/S1807-1775201916001
Dhar, V. (2016). The Future of Artificial Intelligence. Big Data, 4(1), 5 - 9. https://doi.org/10.1089/big.2016.29004.vda
Frey, C. Benedikt, & Osborne, M. A.. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological Forecasting & Social Change, 114. https://doi.org/10.1016/j.techfore.2016.08.019
Frey, C. Benedikt, & Osborne, M. A.. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological Forecasting And Social Change, 114, 254 - 280. https://doi.org/10.1016/j.techfore.2016.08.019
Beck-Dudley, C. L. (2018). The future of work, business education, and the role of AACSB. Journal Of Legal Studies Education, 35(1), 165 - 170. https://doi.org/10.1111/jlse.2018.35.issue-110.1111/jlse.12073
Turk, Z. (2018). The Future of Work: Robots Cooking Free Lunches?. European View, 17(2), 241 - 241. https://doi.org/10.1177/1781685818813010

Pages