- Leslie, D. (2019, June 11). Understanding artificial intelligence ethics and safety. ArXiv.org. https://arxiv.org/abs/1906.05684
Author: Davis Leslie. This will begin the framework of my paper as I lay the foundation for my thesis and attempt to explain the ethical implications of AI usage as well as several different subtopics: Fairness, Safety, Transparency, Sustainability. I will also begin to touch on the guidelines it lays out towards the end of the article as framework for future usage of AI.
2. Floridi, L. (2023). The Ethics of Artificial Intelligence. Google Books. https://books.google.com/books?hl=en&lr=&id=_f3KEAAAQBAJ&oi=fnd&pg=PP1&dq=artificial+intelligence+ethics&ots=Sq9J3UYwPC&sig=fUkzYz1sEddJYavDqagfAAUYnLQ#v=onepage&q=artificial%20intelligence%20ethics&f=false
Author is a member of an Oxford research group. Worked closely with “Center for Digital Ethics” in Bologna. This book will begin my transition into the future practices of AI, including data on the historical usage of AI overtime and predicting future usage capabilities. This section will also include future problems that may arise from any given subject as well as the future needs for AI. The article explains how it can be broken into three separate parts: past usage of AI, current, and future implications/predictions/possible usages.
3. Tai, M. C.-T. (2020). The Impact of Artificial Intelligence on Human Society and Bioethics. Tzu Chi Medical Journal, 32(4), 339–343. National Library of Medicine. https://doi.org/10.4103/tcmj.tcmj_71_20
4. Xu, Y., Wang, Q., An, Z., Wang, F., Zhang, L., Wu, Y., Dong, F., Qiu, C.-W., Liu, X., Qiu, J., Hua, K., Su, W., Xu, H., Han, Y., Cao, X., Liu, E., Fu, C., Yin, Z., Liu, M., & Roepman, R. (2021). Artificial Intelligence: a Powerful Paradigm for Scientific Research. The Innovation, 2(4). Sciencedirect. https://doi.org/10.1016/j.xinn.2021.100179
5. Foltýnek, Tomáš, et al. “Academic plagiarism detection.” ACM Computing Surveys, vol. 52, no. 6, 16 Oct. 2019, pp. 1–42, https://doi.org/10.1145/3345317.
This is an article that discusses the potential future capabilities of AI/AI plagiarism detection in educational writing. They describe the different methods/efforts of detection, as well as the research behind it. Their review is conducted via analyzing hundreds of research papers as samples.
6. Francke, Errol, and Bennett Alexander. “The Potential Influence of Artificial Intelligence on Plagiarism: A Higher Education Perspective.” ECIAIR 2019 European Conference on the Impact of Artificial Intelligence and Robotics, The Authros, Reading, p. 131, https://books.google.com/books?hl=en&lr=&id=8MXBDwAAQBAJ&oi=fnd&pg=PA131&dq=artificial+intelligence+plagiarism+detection&ots=hDSlhC37_q&sig=PA_AmF6Aw-ls8XVXTYPNzZEaFjs#v=onepage&q&f=false. Accessed 27 Mar. 2025.
This is a subset of a greater review on artificial intelligence and robotics capabilities, as it goes more in depth into specifically plagiarism content as well as how this new technology correlates with educational purposes. This review was done by a group of experts at a conference in Oxford, England. The entire book is an amalgamation of various different reviews/articles.
7. Canyakan, Seyhan. “Comparative Accuracy of AI-Based Plagiarism Detection Tools: An Enhanced Systematic Review.” Journal of AI, Humanities, and New Ethics, 2025, https://jaihne.com/index.php/jaihne/article/view/11/3. Accessed 2025.
8. Wu, Jain-Shing, et al. “Using Artificial Intelligence to Predict Class Loyalty and Plagiarism in Students in an Online Blended Programming Course during the COVID-19 Pandemic .” MDPI.Com, 2021, https://www.mdpi.com/2079-9292/10/18/2203. Accessed 2021.
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