Papers

Export 9 results:
2019
Seering, J., M. Luria, G. Kaufman, and J. Hammer. 2019. Beyond Dyadic Interactions: Considering Chatbots as Community Members. Pp. 1-13 in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems - CHI '19. Glasgow, Scotland UK: ACM Press.
Balta, D. et al. 2019. How to Streamline AI Application in Government? A Case Study on Citizen Participation in Germany edited by Ida Lindgren et al. Electronic Government Lecture Notes in Computer Science 11685:233-247.
Crowston, K., and F. Bolici. 2019. Impacts of machine learning on work. Proceedings of the 52nd Hawai'i International Conference on System Sciences (HICSS-52). Retrieved ( http://hdl.handle.net/10125/60031).
PDF icon Impacts_of_machine_learning_on_work__revision_.pdf (300.76 KB)
Kittur, A. et al. 2019. Scaling up analogical innovation with crowds and AI. Proceedings of the National Academy of Sciences 116(6):1870-1877.
2020
Dalgali, A., and K. Crowston. 2020. Factors Influencing Approval of Wikipedia Bots. in Hawai'i International Conference on System Science, Hawai'i International Conference on System Science. Wailea, HI.
PDF icon HICSS_WikipediaPaper_3.9.new kc (2).pdf (473.63 KB)
Harandi, M., K. Crowston, C. Jackson, and C. Østerlund. 2020. The Genie in the Bottle: Different Stakeholders, Different Interpretations of Machine Learning. in Hawai'i International Conference on System Science, Hawai'i International Conference on System Science.
PDF icon Social_Construction_of_ML_in_GS_HICCS2020.pdf (124.3 KB)

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