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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
Kuhn, T. (2015). Science bot: a model for the future computation (A. Gangemi, Leonardi, S., & Panconesi, A., Trans.). In the 24th International ConferenceProceedings of the 24th International Conference on World Wide Web - WWW '15 Companion (1061 - 1062). https://doi.org/10.1145/2740908.2742014
Rieder, B. (2017). Scrutinizing an algorithmic technique: the Bayes classifier as interested reading of reality. Information, Communication & Society, 20(1), 100 - 117. https://doi.org/10.1080/1369118X.2016.1181195
Stilgoe, J. (2017). Seeing Like a Tesla: How Can We Anticipate Self-Driving Worlds?. Glocalism, 3. https://doi.org/10.12893/gjcpi.2017.3.2
Decker, M., Fischer, M., & Ott, I.. (2017). Service Robotics and Human Labor: A first technology assessment of substitution and cooperation. Robotics And Autonomous Systems, 87, 348 - 354. https://doi.org/10.1016/j.robot.2016.09.017
Patterson, E. S., & Woods, D. D.. (2001). Shift changes, updates, and the on-call architecture in space shuttle mission control. Computer Supported Cooperative Work (Cscw), 10(3-4), 317 - 346. https://doi.org/10.1023/A:1012705926828
Berg, A., Buffie, E. F., & Zanna, L. - F.. (2018). Should we fear the robot revolution?. Journal Of Monetary Economics, 97, 117 - 148. https://doi.org/10.1016/j.jmoneco.2018.05.014
Schneider, S., Taylor, G. W., & Kremer, S. C.. (2020). Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020 (479, 44–52). https://doi.org/10.1109/WACVW50321.2020.9096925
Rahman, H. A., & Barley, S. R.. (2017). Situated redesign in creative occupations – An ethnography of architects. Academy Of Management Discoveries, 3(4), 404 - 424. https://doi.org/10.5465/amd.2016.0039
Gombolay, M., Bair, A., Huang, C., & Shah, J.. (2017). Situational awareness, workload, and workflow preferences. The International Journal Of Robotics Research, 36(5-7), 597 - 617. https://doi.org/10.1177/0278364916688255
Autor, D. H., Levy, F., & Murnane, R. J.. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal Of Economics, 118, 1279–1333. https://doi.org/10.1162/003355303322552801
Basso, P., Chiaretti, G., Krzywdzinski, M., Gerber, C., & Evers, M.. (2018). The social consequences of the digital revolution (Vol. 6). In (Vol. 6). https://doi.org/10.30687/2610-968910.30687/978-88-6969-273-410.30687/978-88-6969-273-4/008
Social machines and the Internet : What went wrong?. (2018). Social machines and the Internet : What went wrong?. Bid: Textos Universitaris De Biblioteconomia I Documentaci�, (2018.41). https://doi.org/10.1344/BiD2018.41.8
Beer, D. (2017). The social power of algorithms. Information, Communication & Society, 20(1), 1 - 13. https://doi.org/10.1080/1369118X.2016.1216147
Fortunati, L., Sarrica, M., Ferrin, G., Brondi, S., & Honsell, F.. (2018). Social robots as cultural objects: The sixth dimension of dynamicity?. The Information Society, 34(3), 141 - 152. https://doi.org/10.1080/01972243.2018.1444253
Broman, M. M., & Finckenberg-Broman, P.. (2018). Socio-economic and legal impact of autonomous robotics and ai entities. Ieee Technology And Society Magazine, 37(1), 70 - 79. https://doi.org/10.1109/MTS.2018.2795120
Trist, E. (1981). The socio-technical perspective: The evolution of socio-technical systems as a conceptual framework and action research program. In A. H. van de Ven & Joyce, W. F. (Eds.), Perspectives in Organization Design and Behavior (pp. 32–47). London: John Wiley.
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
Lee, H., Kwon, H., Robinson, R. M., Nothwang, W. D., & Marathe, A. R.. (2016). SPIE ProceedingsAn efficient fusion approach for combining human and machine decisions. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications VIII (9836, 983621). https://doi.org/10.1117/12.2220788
Metcalfe, J. S., Marathe, A. R., Haynes, B., Paul, V. J., Gremillion, G. M., Drnec, K., et al.. (2017). SPIE ProceedingsBuilding a framework to manage trust in automation. In SPIE Defense + SecurityMicro- and Nanotechnology Sensors, Systems, and Applications IX (10194, 101941U). https://doi.org/10.1117/12.2264245

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