Papers

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2019
Berntzen, M., & Wong, S. I.. (2019). The roles of initiated and received task interdependence (T. Bui, Tran.). In Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. Presented at the Hawaii International Conference on System SciencesProceedings of the 52nd Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.119
Kittur, A., Yu, L., Hope, T., Chan, J., Lifshitz-Assaf, H., Gilon, K., et al.. (2019). Scaling up analogical innovation with crowds and AI. Proceedings Of The National Academy Of Sciences, 116(6), 1870-1877. https://doi.org/10.1073/pnas.1807185116
Chrisinger, D. (2019). The solution lies in education: Artificial intelligence & the skills gap. On The Horizon, 27(1), 1 - 4. https://doi.org/10.1108/OTH-03-2019-096
Correia, A., Jameel, S., Paredes, H., Fonseca, B., & Schneider, D.. (2019). Steps toward a scaffolding design framework (pp. 149 - 161; V. - J. Khan, Papangelis, K., Lykourentzou, I., & Markopoulos, P., Eds.). In (pp. 149 - 161). https://doi.org/10.1007/978-3-030-12334-5_5
Marengo, L. (2019). Is this time different? A note on automation and labour in the fourth industrial revolution. Journal Of Industrial And Business Economics, 46(3), 323 - 331. https://doi.org/10.1007/s40812-019-00123-z
Balsmeier, B., & Woerter, M.. (2019). Is this time different? How digitalization influences job creation and destruction. Research Policy, 48(8), 103765. https://doi.org/10.1016/j.respol.2019.03.010
Pulkka, V. - V. (2019). “This time may be a little different” – exploring the Finnish view on the future of work. International Journal Of Sociology And Social Policy, 39(1/2), 22 - 37. https://doi.org/10.1108/IJSSP-05-2018-0070
Pulkka, V. - V. (2019). “This time may be a little different” – exploring the Finnish view on the future of work. International Journal Of Sociology And Social Policy, 39(1/2), 22 - 37. https://doi.org/10.1108/IJSSP-05-2018-0070
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(14), 6531 - 6539. https://doi.org/10.1073/pnas.1900949116
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
Bechmann, A., & Bowker, G. C.. (2019). Unsupervised by any other name: Hidden layers of knowledge production in artificial intelligence on social media. Big Data & Society, 6(1), 205395171881956. https://doi.org/10.1177/2053951718819569
Flynn, A. (2019). Using artificial intelligence in health-system pharmacy practice: Finding new patterns that matter. American Journal Of Health-System Pharmacy, 76(9), 622 - 627. https://doi.org/10.1093/ajhp/zxz018
Pettersen, L. (2019). Why artificial intelligence will not outsmart complex knowledge work. Work, Employment And Society, 33(6), 1058 - 1067. https://doi.org/10.1177/0950017018817489
Greco, C., Polonioli, A., & Tagliabue, J.. (2019). Why small data holds the key to the future of artificial intelligence. In 8th International Conference on Data Science, Technology and ApplicationsProceedings of the 8th International Conference on Data Science, Technology and Applications (340 - 347). https://doi.org/10.5220/0007956203400347

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