Papers

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Journal Article
Udell, M., Stehel, V., Kliestik, T., Kliestikova, J., & Durana, P.. (2019). Towards a smart automated society: Cognitive technologies, knowledge production, and economic growth. Economics, Management, And Financial Markets, 14(1), 44. https://doi.org/10.22381/EMFM14120195
Kitchin, R. (2017). Thinking critically about and researching algorithms. Information, Communication & Society, 20(1), 14 - 29. https://doi.org/10.1080/1369118X.2016.1154087
Kraemer, F., van Overveld, K., & Peterson, M.. (2011). Is there an ethics of algorithms?. Ethics And Information Technology, 13(3), 251 - 260. https://doi.org/10.1007/s10676-010-9233-7
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
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
Moniz, A., & Krings, B. - J.. (2016). Robots working with humans or humans working with robots?. Societies, 6(3), 23. https://doi.org/10.3390/soc6030023
Khan, S. Rafi. (2018). Reinventing capitalism to address automation: Sharing work to secure employment and income. Competition & Change, 22(4), 343 - 362. https://doi.org/10.1177/1024529418783579
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
Saba, L., Biswas, M., Kuppili, V., Godia, E. Cuadrado, Suri, H. S., Edla, D. Reddy, et al.. (2019). The present and future of deep learning in radiology. European Journal Of Radiology, 114, 14 - 24. https://doi.org/10.1016/j.ejrad.2019.02.038
Davenport, T., & Kalakota, R.. (2019). The potential for artificial intelligence in healthcare. Future Healthcare Journal, 6(2), 94 - 98. https://doi.org/10.7861/futurehosp.6-2-94
Choi, D. Y., & Kang, J. Hyeung. (2019). Net job creation in an increasingly autonomous economy: The challenge of a generation. Journal Of Management Inquiry, 28(3), 300 - 305. https://doi.org/10.1177/1056492619827372
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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