This chapter presents an overview of key issues related to the intersection of academic integrity and artificial intelligence (AI). Large language models (LLMs) such as OpenAI’s Generative Pre-Trained Transformer 3 (GPT-3) are discussed. Concurrent developments and evolution in AI and algorithmic writing will continue to affect the way academic integrity is conceptualized and understood. For educators, developments in the field of algorithmic writing technologies will likely involve three key stages. The first (and current) stage involves awareness. The second stage of development will likely focus on detection and support, and on how institutions might help educators uphold academic integrity on a system level. In the third stage, educators who now understand the reality of these new technologies in their classrooms may either adopt pedagogical strategies to directly counter plagiarism or else integrate (permit) such technologically assisted writing as part of student work. Recommendations for pedagogy and policy are offered.
CITATION STYLE
Kumar, R., Eaton, S. E., Mindzak, M., & Morrison, R. (2024). Academic Integrity and Artificial Intelligence: An Overview. In Springer International Handbooks of Education (Vol. Part F2304, pp. 1583–1596). Springer Nature. https://doi.org/10.1007/978-3-031-54144-5_153
Mendeley helps you to discover research relevant for your work.