Generative artificial intelligence and ethics: University faculty, staff, and students' views

Abstract: This exploratory study examines the ethical viewpoints, and perspectives of faculty, staff, and students concerning Gen-erative Artificial Intelligence (GAI) technology tools at a mid-Atlantic university as of August 2023. This qualitative study is guided by Diffusion of Innovation Theory, and the Eight Key Questions Ethical Reasoning Framework, and aims to document the early reactions of the academic community to GAI's introduction into educational contexts. A university wide survey was distributed to document the perceptions, concerns, and expectations of the academic community with respect to GAI as it emerged. The results indicated a range of responses to GAI from optimism that GAI could be used to augment teaching and provide additional support to students, to concern over issues such as academic honesty, bias, privacy of data, and devaluation of authentic learning experiences. The study indicates the complexity of incorporating GAI into higher education. The study establishes a foundation for future studies on the sociotechnical implications of GAI, and includes a University GAI Ethics Guidance Checklist to assist in the ethical implementation of GAI.