Papers

Export 11 results:
Filters: Filter is   [Clear All Filters]
2024
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)
Wang, S., Menon, S., Long, T., Henderson, K., Li, D., Crowston, K., et al.. (2024). ReelFramer: Human-AI Co-Creation for News-to-Video Translation. In CHI Conference on Human Factors in Computing Systems. Retrieved de https://arxiv.org/abs/2304.09653
2023
Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., et al.. (2023). AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3580907
2022
Ågerfalk, P. J., Conboy, K., Crowston, K., Jarvenpaa, S. L., Lundström, J. Eriksson, Mikalef, P., & Ram, S.. (2022). Artificial intelligence in information systems: State of the art and research roadmap. Communications Of The Association For Information Systems (Cais), 50. https://doi.org/10.17705/1CAIS.05017
PDF icon Artificial Intelligence in Information Systems State of the Art.pdf (1 MB)
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)
2020
Noonpakdee, W. (2020). The Adoption of Artificial Intelligence for Financial Investment Service. 2020 22Nd International Conference On Advanced Communication Technology (Icact), 396–400.
Sidaoui, K., Jaakkola, M., & Burton, J.. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal Of Service Management. https://doi.org/10.1108/JOSM-11-2019-0341
Kuziemski, M., & Misuraca, G.. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44, 101976. https://doi.org/10.1016/j.telpol.2020.101976
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
J Black, S., & van Esch, P.. (2020). AI-enabled recruiting: What is it and how should a manager use it?. Business Horizons, 63, 215–226. https://doi.org/10.1016/j.bushor.2019.12.001
Dalgali, A., & Crowston, K.. (2020). Algorithmic Journalism and Its Impacts on Work. In Computation + Journalism Symposium. Presented at the Computation + Journalism Symposium . Retrieved de https://cpb-us-w2.wpmucdn.com/express.northeastern.edu/dist/d/53/files/2020/02/CJ_2020_paper_26.pdf
PDF icon CJ_2020_paper_26.pdf (1.24 MB)
Kellogg, K. C., Valentine, M. A., & Christin, A.. (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410. https://doi.org/10.5465/annals.2018.0174
Gentili, A., Compagnucci, F., Gallegati, M., & Valentini, E.. (2020). Are machines stealing our jobs?. Cambridge Journal Of Regions, Economy And Society, 13, 153–173. https://doi.org/10.1093/cjres/rsz025
Cui, Y. (2020). Artificial Intelligence and Judicial Modernization. https://doi.org/10.1007/978-981-32-9880-4
Østerlund, C., Jarrahi, M. Hossein, Willis, M., Boyd, K., & Wolf, C.. (2020). Artificial intelligence and the world of work, a co-constitutive relationship. Journal Of The Association For Information Science And Technology. https://doi.org/10.1002/asi.24388
Sushina, T., & Sobenin, A.. (2020). Artificial Intelligence in the Criminal Justice System: Leading Trends and Possibilities. In Proceedings of the 6th International Conference on Social, economic, and academic leadership (ICSEAL-6-2019) (441, 432–437). https://doi.org/10.2991/assehr.k.200526.062
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
Jha, S. (2020). Automation and Radiology—Part 1. In Academic Radiology (pp. 147–149). https://doi.org/10.1016/j.acra.2019.10.026
Johnson, R. D., Stone, D. L., & Lukaszewski, K. M.. (2020). The benefits of eHRM and AI for talent acquisition. Journal Of Tourism Futures. https://doi.org/10.1108/JTF-02-2020-0013
Roccetti, M., Delnevo, G., Casini, L., & Salomoni, P.. (2020). A Cautionary Tale for Machine Learning Design: why we Still Need Human-Assisted Big Data Analysis. Mobile Networks And Applications, 25, 1075–1083. https://doi.org/10.1007/s11036-020-01530-6
Kassens-Noor, E., & Hintze, A.. (2020). Cities of the Future? The Potential Impact of Artificial Intelligence. Ai, 1, 192–197. https://doi.org/10.3390/ai1020012

Pages