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Papers

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Šukjurovs, I., Zvirgzdiņa, R., & Jeromanova-Maura, S.. (2019). Artificial intelligence in workplaces and how it will affect employment in Latvia. Environment. Technology. Resources. Proceedings Of The International Scientific And Practical Conference, 2, 154. https://doi.org/10.17770/etr2019vol2.4151
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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
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
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
Spitz‐Oener, A.. (2006). Technical change, job tasks, and rising educational demands: looking outside the wage structure. Journal Of Labor Economics, 24(2), 235 - 270. https://doi.org/10.1086/499972
Spencer, D., & Slater, G.. (2020). No automation please, we're British: Technology and the prospects for work. Cambridge Journal Of Regions, Economy And Society, 13, 117–134. https://doi.org/10.1093/cjres/rsaa003
Sokol, J. (2017). AI in Action: Machines that make sense of the sky. Science, 357(6346), 26 - 26. https://doi.org/10.1126/science.357.6346.26
Smith, Z. (2019). Blame the boss, not the robot. New Labor Forum, 28(2), 66 - 69. https://doi.org/10.1177/1095796019837947
Silva, F. N., Rodrigues, F. A., Oliveira, O. N., & L. Costa, daF.. (2013). Quantifying the interdisciplinarity of scientific journals and fields. Journal Of Informetrics, 7(2), 469 - 477. https://doi.org/10.1016/j.joi.2013.01.007
Sidaoui, K., Jaakkola, M., & Burton, J.. (2020). AI feel you: customer experience assessment via chatbot interviews. Journal Of Service Management. https://doi.org/10.1108/JOSM-11-2019-0341
Shvets, A., & Shvets, V.. (2018). Cognitive and technological aspects of e-learning in context of robotization. Cognitive Science – New Media – Education, 3(2), 65. https://doi.org/10.12775/CSNME.2017.013

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