Papers

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2019
Dahya, R., & Morris, A.. (2019). Toward a conceptual framework for understanding AI action and legal reaction (Vol. 11489, pp. 453 - 459; M. - J. Meurs & Rudzicz, F., Eds.). In (Vol. 11489, pp. 453 - 459). https://doi.org/10.1007/978-3-030-18305-9_44
Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J., et al.. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings Of The National Academy Of Sciences, 116, 6531–6539. https://doi.org/10.1073/pnas.1900949116
Udell, M., Stehel, V., Kliestik, T., Kliestikova, J., & Durana, P.. (2019). Towards a smart automated society: Cognitive technologies, knowledge production, and economic growth. Economics, Management, And Financial Markets, 14(1), 44. https://doi.org/10.22381/EMFM14120195
Herzenberg, S., & Alic, J.. (2019). Towards an AI economy that works for all. In Keystone Research Center Future of Work Project sponsored by The Heinz Endowments. Retrieved de https://www.keystoneresearch.org/sites/default/files/FOW_TowardAIEconomyForAllFinalEdit.pdf
BUITEN, M. C. (2019). Towards intelligent regulation of Artificial Intelligence. European Journal Of Risk Regulation, 10(1), 41 - 59. https://doi.org/10.1017/err.2019.8
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
2025
Liang, Q., Crowston, K., & You, S.. (2025). The task matters: The effect of perceived similarity to AI on intention to use in different task types. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2025.042
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