Papers

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Journal Article
Akaev, A., Sarygulov, A., & Sokolov, V.. (2018). Digital economy: backgrounds, main drivers and new challenges. Shs Web Of Conferences, 44, 00006. https://doi.org/10.1051/shsconf/20184400006
Akaev, A., Sarygulov, A., & Sokolov, V.. (2018). Digital economy: backgrounds, main drivers and new challenges. Shs Web Of Conferences, 44, 00006. https://doi.org/10.1051/shsconf/20184400006
Akaev, A., Sarygulov, A., & Sokolov, V.. (2018). Digital economy: backgrounds, main drivers and new challenges. Shs Web Of Conferences, 44, 00006. https://doi.org/10.1051/shsconf/20184400006
Akaev, A., Sarygulov, A., & Sokolov, V.. (2018). Digital economy: backgrounds, main drivers and new challenges. Shs Web Of Conferences, 44, 00006. https://doi.org/10.1051/shsconf/20184400006
Salge, C., & Polani, D.. (2017). Empowerment As Replacement for the Three Laws of Robotics. Frontiers In Robotics And Ai, 4. https://doi.org/10.3389/frobt.2017.00025
Fryer, L. K., Ainley, M., Thompson, A., Gibson, A., & Sherlock, Z.. (2017). An experimental comparison of Chatbot and Human task partners. Computers In Human Behavior, 75, 461 - 468. https://doi.org/10.1016/j.chb.2017.05.045
Zevin, M., Coughlin, S., Bahaadini, S., Besler, E., Rohani, N., Allen, S., et al.. (2017). Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science. Classical And Quantum Gravity, 34, 064003. https://doi.org/10.1088/1361-6382/aa5cea
Sudlow, B. (2019). Higher education in the age of Artificial Intelligence. Postdigital Science And Education, 1(1), 236 - 239. https://doi.org/10.1007/s42438-018-0005-8
Dellermann, D., Ebel, P., Söllner, M., & Leimeister, J. Marco. (2019). Hybrid Intelligence. Business & Information Systems Engineering, 61(5), 637 - 643. https://doi.org/10.1007/s12599-019-00595-2
Ebel, P., Söllner, M., Leimeister, J. Marco, Crowston, K., & de Vreede, G. - J.. (2021). Hybrid intelligence in business networks. Electronic Markets. https://doi.org/10.1007/s12525-021-00481-4
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Vermeulen, B., Kesselhut, J., Pyka, A., & Saviotti, P.. (2018). The impact of automation on employment: Just the usual structural change?. Sustainability, 10(5), 1661. https://doi.org/10.3390/su10051661
Avati, A., Jung, K., Harman, S., Downing, L., Ng, A., & Shah, N. H.. (2018). Improving palliative care with deep learning. Bmc Medical Informatics And Decision Making, 18(S4). https://doi.org/10.1186/s12911-018-0677-8
Moore, M. M., Slonimsky, E., Long, A. D., Sze, R. W., & Iyer, R. S.. (2019). Machine learning concepts, concerns and opportunities for a pediatric radiologist. Pediatric Radiology, 49(4), 509 - 516. https://doi.org/10.1007/s00247-018-4277-7
Moore, M. M., Slonimsky, E., Long, A. D., Sze, R. W., & Iyer, R. S.. (2019). Machine learning concepts, concerns and opportunities for a pediatric radiologist. Pediatric Radiology, 49(4), 509 - 516. https://doi.org/10.1007/s00247-018-4277-7
Stilgoe, J. (2018). Machine learning, social learning and the governance of self-driving cars. Social Studies Of Science, 48, 25-56. https://doi.org/10.1177/0306312717741687
Kernbach, J. M., & Staartjes, V. E.. (2020). Machine learning-based clinical prediction modeling – A practical guide for clinicians. Artificial Intelligence In Precision Health, 257–278. https://doi.org/10.1016/b978-0-12-817133-2.00011-2

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