Papers

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Bailey, N. R., & Scerbo, M. W.. (2007). Automation-induced complacency for monitoring highly reliable systems: the role of task complexity, system experience, and operator trust. Theoretical Issues In Ergonomics Science, 8(4), 321 - 348. https://doi.org/10.1080/14639220500535301
Roco, M. C. (2016). Handbook of Science and Technology ConvergenceConvergence-Divergence Process (pp. 79 - 93; W. S. Bainbridge & Roco, M. C., Eds.). In (pp. 79 - 93). https://doi.org/10.1007/978-3-319-07052-0_11
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
Barley, S. R., Bechky, B. A., & Milliken, F. J.. (2017). The changing nature of work: Careers, identities, and work lives in the 21 century. Academy Of Management Discoveries, 3(2), 111 - 115. https://doi.org/10.5465/amd.2017.0034
Barley, S. R., & Kunda, G.. (2001). Bringing work back in. Organization Science, 12, 76–95. https://doi.org/10.1287/orsc.12.1.76.10122
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
Baudoin, F., Bretier, P., & Corruble, V.. (2005). A dialogue agent with adaptive and proactive capabilities. In IEEE/WIC/ACM International Conference on Intelligent Agent TechnologyIEEE/WIC/ACM International Conference on Intelligent Agent Technology (293 - 296). https://doi.org/10.1109/IAT.2005.8
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
Beck-Dudley, C. L. (2018). The future of work, business education, and the role of AACSB. Journal Of Legal Studies Education, 35(1), 165 - 170. https://doi.org/10.1111/jlse.2018.35.issue-110.1111/jlse.12073
Becker, A. (2019). Artificial intelligence in medicine: What is it doing for us today?. Health Policy And Technology, 8(2), 198 - 205. https://doi.org/10.1016/j.hlpt.2019.03.004
Bednarek, A. T., Wyborn, C., Cvitanovic, C., Meyer, R., Colvin, R. M., Addison, P. F. E., et al.. (2018). Boundary spanning at the science–policy interface: the practitioners’ perspectives. Sustainability Science, 13(4), 1175 - 1183. https://doi.org/10.1007/s11625-018-0550-9
Beer, J. M., Fisk, A. D., & Rogers, W. A.. (2014). Toward a Framework for Levels of Robot Autonomy in Human-Robot Interaction. Journal Of Human-Robot Interaction, 3(2), 74. https://doi.org/10.5898/JHRI.3.2.Beer
Beer, D. (2017). The social power of algorithms. Information, Communication & Society, 20(1), 1 - 13. https://doi.org/10.1080/1369118X.2016.1216147
Begeer, S., Bouk, S. El, Boussaid, W., Terwogt, M. Meerum, & Koot, H. M.. (2009). Under diagnosis and referral bias of autism in ethnic minorities. Journal Of Autism And Developmental Disorders, 39(1), 142 - 148. https://doi.org/10.1007/s10803-008-0611-5
Poon, S. S., Thomas, R. C., Aragon, C. R., & Lee, B.. (2008). Context-linked virtual assistants for distributed teams (B. Begole & McDonald, D. W., Trans.). In the ACM 2008 conferenceProceedings of the ACM 2008 conference on Computer supported cooperative work - CSCW '08 (361). https://doi.org/10.1145/1460563.1460623
Belanche, D., Casaló, L. V., & Flavián, C.. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411 - 1430. https://doi.org/10.1108/IMDS-08-2018-0368

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