Applications and Implication of Generative AI in Non-STEM Disciplines in Higher Education

There has been considerable research on the use of generative artificial intelligence techniques to support teaching and learning in science, technology, engineering, and mathematics (STEM) subjects in higher education. However, few studies have explored the role of such technologies in non-STEM subjects in higher education. This paper reviews the relevant literature on the application of generative AI in higher education and proposes the application and implications of using generative AI tools to support student and instructors work in non-STEM higher education disciplines. An assessment of the role of AI in complex student tasks in non-STEM subjects is provided. Several considerations for the effective use of generative AI in non-STEM higher education are suggested. Faculty and students should focus on: 1) ensuring that ethical and moral implications are addressed; 2) using AI to augment rather than replace human intelligence; 3) using AI as an instructional tool rather than a fully automated system; 4) using AI to improve academic assessment and self-assessment methods; 5) critically reviewing the results of generative AI systems.