Crowston, K., & Bolici, F. (2019). Impacts of machine learning on work. In Proceedings of the 52nd Hawai’i International Conference on System Sciences (HICSS-52). https://doi.org/10.24251/HICSS.2019.719
Gupta, A., C, A., Indumathi, P., & Kumar, A. (2018). Automated Classification of chest X-ray images as normal or abnormal using Convolutional Neural Network. Asian Journal of Convergence in Technology, 4(1).
Köse, U. (2017). Are We Safe Enough in the Future of Artificial Intelligence? A Discussion on Machine Ethics and Artificial Intelligence Safety. Scientific Methods in Academic Research and Teaching International Conference, 184-197.
Jones, L., Golan, D., Hanna, S. A., & Ramachandran, M. (2018). Artificial intelligence, machine learning and the evolution of healthcare A bright future or cause for concern? British Journal of Radiology, 7(7), 223-225.
Weidlich, V., & Weidlich, G. A. (2018). Artificial Intelligence in Medicine and Radiation Oncology. Cureus. https://doi.org/10.7759/cureus.2475
Crowston, K., & Bolici, F. (2020). Impacts of the Use of Machine Learning on Work Design. In 8th International Conference on Human-Agent Interaction. ACM. https://doi.org/10.1145/3406499.3415070
Ikudo, A., Lane, J., Staudt, J., & Weinberg, B. A. (2018). Occupational Classifications With A Machine Learning Approach. In IZA DP No. 11738. https://www.iza.org/publications/dp/11738/occupational-classifications-a-machine-learning-approach
Larsen, K. R., Hovorka, D. S., Dennis, A. R., & West, J. D. (2018). The discourse approach to boundary identification and corpus construction for theory review articles. Journal of the Association for Information Systems. https://www.researchgate.net/publication/325215971_Understanding_the_Elephant_The_Discourse_Approach_to_Boundary_Identification_and_Corpus_Construction_for_Theory_Review_Articles
Wagner, D. N. (2020). The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm. Telecommunications Policy, 44, Article 6. https://doi.org/10.1016/j.telpol.2020.101954
Capatina, A., Kachour, M., Lichy, J., Micu, A., Micu, A. E., & Codignola, F. (2020). Matching the future capabilities of an artificial intelligence-based software for social media marketing with potential users’ expectations. Technological Forecasting and Social Change, 151, Article June 2019. https://doi.org/10.1016/j.techfore.2019.119794