AI & AI: Exploring the contemporary intersections of artificial intelligence and academic integrity
Issues emerging from the use of artificial intelligence technologies in academic integrity are examined using deontological (principle-based), utilitarian (consequence-based), and feminist (community-based) ethical theories. Specifically, how are these ethical theories to be applied to the matters of Ai when AI mitigates educational interactions? Aside from ethics, the reality of the use of artificial intelligence technology has an impact on labour and even academic labour. Using contemporary theories that tackle automation and work is examined in the context of higher education. Although the futures are volatile, uncertain, complex, and ambiguous (VUCA), the trajectory of how artificial intelligence will be deployed is certainly uncertain. But the application of AI in text generation is here and readily available. Currently, there are a growing number of automatic text generators based on Large Language Models (LLMs) that are available to students at little or no cost. The impact on academics and education is inevitable, and while there are no explicit solutions, there are pedagogically appropriate opportunities that could provide broader change in creating more authenticity in the development of student writing. All the previously explored trends immediately affect academic integrity and assessment in post-secondary education. In the final presentation, the current practices will be troubled, and new opportunities discussed.
academic integrity, academic misconduct, artificial intelligence, ethics, higher education, teaching, learning, assessment
Kumar, R., Mindzak, M., Eaton, S. E., & Morrison, R. (May 17, 2022). AI & AI: Exploring the contemporary intersections of artificial intelligence and academic integrity (Conference Presentation). Canadian Society for the Study of Higher Education Annual Conference, Online