Papers

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2020
Kuziemski, M., & Misuraca, G.. (2020). AI governance in the public sector: Three tales from the frontiers of automated decision-making in democratic settings. Telecommunications Policy, 44, 101976. https://doi.org/10.1016/j.telpol.2020.101976
Dogru, A. K., & Keskin, B. B.. (2020). AI in operations management: applications, challenges and opportunities. Journal Of Data, Information And Management, 2, 67–74. https://doi.org/10.1007/s42488-020-00023-1
Kellogg, K. C., Valentine, M. A., & Christin, A.. (2020). Algorithms at work: The new contested terrain of control. Academy Of Management Annals, 14(1), 366 - 410. https://doi.org/10.5465/annals.2018.0174
Kassens-Noor, E., & Hintze, A.. (2020). Cities of the Future? The Potential Impact of Artificial Intelligence. Ai, 1, 192–197. https://doi.org/10.3390/ai1020012
Hacker, P., Krestel, R., Grundmann, S., & Naumann, F.. (2020). Explainable AI under contract and tort law: legal incentives and technical challenges. Artificial Intelligence And Law. https://doi.org/10.1007/s10506-020-09260-6
Azarova, L., Kudryavtseva, M., & Sharakhina, L.. (2020). Key Advantages and Risks of Implementing Artificial Intelligence in the Activities of Professional Communicators. In Proceedings of the 2020 IEEE Communication Strategies in Digital Society Seminar, ComSDS 2020 (82–86). https://doi.org/10.1109/ComSDS49898.2020.9101238
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
Schneider, S., Taylor, G. W., & Kremer, S. C.. (2020). Similarity Learning Networks for Animal Individual Re-Identification-Beyond the Capabilities of a Human Observer. In Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision Workshops, WACVW 2020 (479, 44–52). https://doi.org/10.1109/WACVW50321.2020.9096925
Ferreira, P., Teixeira, J. Grenha, & Teixeira, L. F.. (2020). Understanding the Impact of Artificial Intelligence on Services. In International Conference on Exploring Services Science (1, 202–213). https://doi.org/10.1007/978-3-030-38724-2
Krupiy, T. Tanya. (2020). A vulnerability analysis : Theorising the impact of artificial intelligence decision-making processes on individuals , society and human diversity from a social justice perspective. Computer Law & Security Review: The International Journal Of Technology Law And Practice, 38, 105429. https://doi.org/10.1016/j.clsr.2020.105429

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