Papers

Export 11 results:
2018
Garvey, C. (2018). AI risk mitigation through democratic governance (J. Furman, Marchant, G., Price, H., & Rossi, F., Trans.). In the 2018 AAAI/ACM ConferenceProceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society - AIES '18 (366 - 367). https://doi.org/10.1145/3278721.3278801
Bluemke, D. A. (2018). Are You Working with AI or Being Replaced by AI?. Radiology, 287(2), 365 - 366. https://doi.org/10.1148/radiol.2018184007
AL-Gindy, A. (2018). Artificial Intelligence: A Case Study on Risk Mitigation. International Journal Of Computer Science And Network Security, 18(4), 9-12.
Galily, Y. (2018). Artificial intelligence and sports journalism: Is it a sweeping change?. Technology In Society. https://doi.org/10.1016/j.techsoc.2018.03.001
Jarrahi, M. Hossein. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making. Business Horizons, 61(4), 577 - 586. https://doi.org/10.1016/j.bushor.2018.03.007
Iliadis, L., Maglogiannis, I., & Plagianakos, V.. (2018). Artificial Intelligence Applications and Innovations. In 14th IFIP WG 12.5 International Conference, AIAI 2018. Presented at the 14th IFIP WG 12.5 International Conference, AIAI 2018. Retrieved de https://www.springer.com/gp/book/9783319920153
Galanos, V. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide. In IFIP International Conference on Human Choice and Computers. Presented at the IFIP International Conference on Human Choice and Computers. Retrieved de https://doi.org/10.1007/978-3-319-99605-9_27
Galanos, V. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide (Vol. 537, pp. 359 - 373; D. Kreps, Ess, C., Leenen, L., & Kimppa, K., Eds.). In (Vol. 537, pp. 359 - 373). https://doi.org/10.1007/978-3-319-99605-9_27
Galanos, V. (2018). Artificial Intelligence Does Not Exist: Lessons from Shared Cognition and the Opposition to the Nature/Nurture Divide (Vol. 537, pp. 359 - 373; D. Kreps, Ess, C., Leenen, L., & Kimppa, K., Eds.). In (Vol. 537, pp. 359 - 373). https://doi.org/10.1007/978-3-319-99605-9_27
Mikhaylov, S. Jankin, Esteve, M., & Campion, A.. (2018). Artificial intelligence for the public sector: opportunities and challenges of cross-sector collaboration. Philosophical Transactions Of The Royal Society A: Mathematical, Physical And Engineering Sciences, 376(2128), 20170357. https://doi.org/10.1098/rsta.2017.0357
Kelley, K. H., Fontanetta, L. M., Heintzman, M., & Pereira, N.. (2018). Artificial intelligence: Implications for social inflation and insurance. Risk Management And Insurance Review, 21(3), 373 - 387. https://doi.org/10.1111/rmir.12111
Johnson, K. W., Soto, J. Torres, Glicksberg, B. S., Shameer, K., Miotto, R., Ali, M., et al.. (2018). Artificial Intelligence in Cardiology. Journal Of The American College Of Cardiology, 71(23), 2668 - 2679. https://doi.org/10.1016/j.jacc.2018.03.521
Weidlich, V., & Weidlich, G. A.. (2018). Artificial Intelligence in Medicine and Radiation Oncology. Cureus. https://doi.org/10.7759/cureus.2475
Huang, M. - H., & Rust, R. T.. (2018). Artificial Intelligence in Service. Journal Of Service Research, 21(2), 155 - 172. https://doi.org/10.1177/1094670517752459

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