Papers

Export 11 results:
Filters: First Letter Of Last Name is D  [Clear All Filters]
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
D
Moore, P. V. (2019). Benefits and risks of artificial intelligence tools in workplaces (Vol. 11581, pp. 292 - 315; V. G. Duffy, Ed.). In (Vol. 11581, pp. 292 - 315). https://doi.org/10.1007/978-3-030-22216-1_22
Dottori, D. (2020). Robots and employment: evidence from Italy. In Questioni di Economia e Finanza.
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
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
Dolata, M., & Crowston, K.. (2024). Making sense of AI systems development. Ieee Transactions On Software Engineering, 50(1), 123–140. https://doi.org/10.1109/TSE.2023.3338857
PDF icon sensemaking_tse_to_share.pdf (619.73 KB)
Dolata, M., Crowston, K., & Schwabe, G.. (2022). Project archetypes: A blessing and a curse for AI development. In International Conference on Information Systems (ICIS). Presented at the International Conference on Information Systems (ICIS), Copenhagen, Denmark. Retrieved de https://aisel.aisnet.org/icis2022/is_design/is_design/6
PDF icon icis_archetypes_rev1_v20_zora.pdf (433.37 KB)
Dogru, A. K., & Keskin, B. B.. (2020). AI in operations management: applications, challenges and opportunities. Journal Of Data, Information And Management, 2, 67–74. https://doi.org/10.1007/s42488-020-00023-1
Dietzmann, C., & Alt, R.. (2020). Assessing the Business Impact of Artificial Intelligence. In Proceedings of the 53rd Hawaii International Conference on System Sciences (3, 5170–5179). https://doi.org/10.24251/hicss.2020.635
Diamond, A. M. (2018). Robots and computers enhance us more than they replace us. The American Economist, 056943451879267. https://doi.org/10.1177/0569434518792674
Di Prospera, A., norouzi, N., Fokaefs, M., & Litoiu, M.. (2017). Chatbots as assistants, an architectural framework. In CASCON '17 Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering. Retrieved de https://dl.acm.org/citation.cfm?id=3172805
Dhar, V. (2016). The Future of Artificial Intelligence. Big Data, 4(1), 5 - 9. https://doi.org/10.1089/big.2016.29004.vda
Desideri, L., Ottaviani, C., Malavasi, M., di Marzio, R., & Bonifacci, P.. (2019). Emotional processes in human-robot interaction during brief cognitive testing. Computers In Human Behavior, 90, 331 - 342. https://doi.org/10.1016/j.chb.2018.08.013
Deming, D. J. (2015). The growing importance of social skills in the labor market. National Bureau of Economic Research.
Demartini, G. (2015). Hybrid human–machine information systems: Challenges and opportunities. Computer Networks, 90, 5 - 13. https://doi.org/10.1016/j.comnet.2015.05.018
Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. Marco. (2019). Hybrid Intelligence. Business & Information Systems Engineering, 61(5), 637 - 643. https://doi.org/10.1007/s12599-019-00595-2
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
Delfanti, A., & Frey, B.. (2020). Humanly Extended Automation or the Future of Work Seen through Amazon Patents. Science, Technology, & Human Values, 016224392094366. https://doi.org/10.1177/0162243920943665
Decker, M., Fischer, M., & Ott, I.. (2017). Service Robotics and Human Labor: A first technology assessment of substitution and cooperation. Robotics And Autonomous Systems, 87, 348 - 354. https://doi.org/10.1016/j.robot.2016.09.017

Pages