Ethical Consistency and the Use of Generalized Large Language Models in Higher Education: A Perspective Based on the Workplace of the Future

Abstract

Generalized large language models such as ChatGPT are rapidly transforming many aspects of organizational life. As their use becomes widespread in institutions of higher education, faculty and student reactions are varied and, at times, based on personal experience rather than philosophical principles or consideration of future needs and opportunities. This manuscript offers a path forward based on the principle of ethical consistency along with consideration of the workplace of the future. Beliefs of college professors and students are examined in this context and implications for policies, practices, and pedagogy are discussed. A research agenda on ethical consistency and generalized large language models in higher education with research questions addressing both the classroom and the workplace is offered.

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