Papers

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2019
Duckworth, P., Graham, L., & Osborne, M.. (2019). Inferring work task automatability from AI expert evidence (V. Conitzer, Hadfield, G., & Vallor, S., Trans.). In the 2019 AAAI/ACM ConferenceProceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society - AIES '19 (485 - 491). https://doi.org/10.1145/330661810.1145/3306618.3314247
Davenport, T., & Kalakota, R.. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94 - 98. https://doi.org/10.7861/futurehosp.6-2-94
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
2020
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
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
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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
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
Gerber, A., Derckx, P., Döppner, D. A., & Schoder, D.. (2020). Conceptualization of the Human-Machine Symbiosis – A Literature Review. In Proceedings of the 53rd Hawaii International Conference on System Sciences (3, 289–298). https://doi.org/10.24251/hicss.2020.036
Gerber, A., Derckx, P., Döppner, D. A., & Schoder, D.. (2020). Conceptualization of the Human-Machine Symbiosis – A Literature Review. In Proceedings of the 53rd Hawaii International Conference on System Sciences (3, 289–298). https://doi.org/10.24251/hicss.2020.036
de Ágreda, Á. Gómez. (2020). Ethics of autonomous weapons systems and its applicability to any AI systems. Telecommunications Policy, 5, 101953. https://doi.org/10.1016/j.telpol.2020.101953
Dalgali, A., & Crowston, K.. (2020). Factors Influencing Approval of Wikipedia Bots. In Hawai'i International Conference on System Science. https://doi.org/10.24251/HICSS.2020.018
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Suran, S., Pattanaik, V., & Draheim, D.. (2020). Frameworks for collective intelligence: A systematic literature review. In ACM Computing Surveys (pp. 1–36). https://doi.org/10.1145/3368986
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
Das, S., Steffen, S., Clarke, W., Reddy, P., Brynjolfsson, E., & Fleming, M.. (2020). Learning occupational task-shares dynamics for the future of work. In AIES 2020 - Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society (36–42). https://doi.org/10.1145/3375627.3375826
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
Seeber, I., Bittner, E., Briggs, R. O., de Vreede, T., de Vreede, G. Jan, Elkins, A., et al.. (2020). Machines as teammates: A research agenda on AI in team collaboration. Information And Management, 57, 103174. https://doi.org/10.1016/j.im.2019.103174
Dottori, D. (2020). Robots and employment: evidence from Italy. In Questioni di Economia e Finanza.

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