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Papers

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2017
Carpini, J. A., Parker, S. K., & Griffin, M. A.. (2017). A review and synthesis of the individual work performance literature. Academy Of Management Annals, 11(2), 825 - 885. https://doi.org/10.5465/annals.2015.0151
Arntz, M., Gregory, T., & Zierahn, U.. (2017). Revisiting the risk of automation. Economics Letters, 159, 157 - 160. https://doi.org/10.1016/j.econlet.2017.07.001
zollosy, M. (2017). Robots, ai, and the question of 'e-persons'. In Journal of science communication. Presented at the Journal of science communication. Retrieved de http://eprints.whiterose.ac.uk/124830/
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
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
Beer, D. (2017). The social power of algorithms. Information, Communication & Society, 20(1), 1 - 13. https://doi.org/10.1080/1369118X.2016.1216147
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
Lynch, C. (2017). Stewardship in the age of algorithms. Peer-Reviewed Journal On The Internet. Retrieved de https://firstmonday.org/article/view/8097/6583
Galliers, R. D., Newell, S., Shanks, G., & Topi, H.. (2017). The strategic opportunities and challenges of algorithmic decision-making. The Journal Of Strategic Information Systems, 26(3), 185 - 190. https://doi.org/10.1016/j.jsis.2017.08.002
Zhang, M., & Gable, G. G.. (2017). A systematic framework for multilevel theorizing in information systems research. Information Systems Research, 28(2), 203 - 224. https://doi.org/10.1287/isre.2017.0690
Kitchin, R. (2017). Thinking critically about and researching algorithms. Information, Communication & Society, 20(1), 14 - 29. https://doi.org/10.1080/1369118X.2016.1154087
Tsvetkova, M., Yasseri, T., Meyer, E. T., J. Pickering, B., Engen, V., Walland, P., et al.. (2017). Understanding human-machine networks. Acm Computing Surveys, 50(1), 1 - 35. https://doi.org/10.1145/3039868
Danaher, J. (2017). Will Life Be Worth Living in a World Without Work? Technological Unemployment and the Meaning of Life. Science And Engineering Ethics, 23. https://doi.org/10.1007s/11948-016-9770-5
Danaher, J. (2017). Will Life Be Worth Living in a World Without Work? Technological Unemployment and the Meaning of Life. Science And Engineering Ethics, 23(1), 41 - 64. https://doi.org/10.1007/s11948-016-9770-5

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