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Large Language Models (LLMs) are advancing quickly and impacting people'slives for better or worse. In higher education, concerns have emerged such asstudents' misuse of LLMs and degraded education outcomes. To unpack the ethicalconcerns of LLMs for higher education, we conducted a case study consisting ofstakeholder interviews (n=20) in higher education computer science. We foundthat students use several distinct mental models to interact with LLMs - LLMsserve as a tool for (a) writing, (b) coding, and (c) information retrieval,which differ somewhat in ethical considerations. Students and teachers broughtup ethical issues that directly impact them, such as inaccurate LLM responses,hallucinations, biases, privacy leakage, and academic integrity issues.Participants emphasized the necessity of guidance and rules for the use of LLMsin higher education, including teaching digital literacy, rethinking education,and having cautious and contextual policies. We reflect on the ethicalchallenges and propose solutions.

"The teachers are confused as well": A Multiple-Stakeholder Ethics Discussion on Large Language Models in Computing Education