Friend or Frenemy: A Case Study of AI Adoption by Strained Governmental Service Providers
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-62538-1_2
Reference57 articles.
1. Adams, S., Arel, I., Bach, J., Coop, R., Furlan, R., Goertzel, B., Hall, J. S., Samsonovich, A., Scheutz, M., Schlesinger, M., Shapiro, S. C., & Sowa, J. (2012). Mapping the landscape of human-level artificial general intelligence. AI Magazine, 33(1), 25–42. https://doi.org/10.1609/aimag.v33i1.2322
2. Agarwal, P. K. (2018). Public administration challenges in the world of AI and bots. Public Administration Review, 78(6), 917–921. https://doi.org/10.1111/puar.12979
3. Alon-Barkat, S., & Busuioc, M. (2022). Human-AI interactions in public sector decision-making: ‘Automation bias’ and ‘selective adherence’ to algorithmic advice. Journal of Public Administration Research and Theory, 33. https://doi.org/10.1093/jopart/muac007
4. Androutsopoulou, A., Karacapilidis, N., Loukis, E., & Charalabidis, Y. (2019). Transforming the communication between citizens and government through AI-guided chatbots. Government Information Quarterly, 36(2), 358–367. https://doi.org/10.1016/j.giq.2018.10.001
5. Aoki, N. (2021). The importance of the assurance that “humans are still in the decision loop” for public trust in artificial intelligence: Evidence from an online experiment. Computers in Human Behavior, 114, 106572. https://doi.org/10.1016/j.chb.2020.106572
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