The advent of Artificial Intelligence (AI) technologies has brought significant advances and efficiencies, making it a pervasive presence in our daily lives. The application of AI is exploding in healthcare, finance, and transportation, as well as in education. However, the integration of AI in education is not without challenges and risks. In this context, the role of research and researchers becomes of paramount importance. After outlining what AI ethics in education is concerned with and the role of language choice in communication, starting from a systematic review focused on the ethical challenges of AI in Higher Education (HE), a collateral study is conducted obtaining a selection of materials analyzed through Voyant Tools. In the 25 texts, five words emerged as foundational elements of this research’s field: “AI,” “students,” “education,” “learning,” and “ethical.” The result promoted the subsequent investigation concerning how the words relate in the linguistic context. A general alignment of the research community emerges, and a balance between action, promotion, innovation, prudence, and reflection is proposed. This study addresses a request to take care of the ethical dimension, asking the research world to give it even more space in the research papers and considering it fundamental to create safe, responsible, and ethical teaching and learning practices. Aware of the era in which we live, the study prompts procedures and questions and opens avenues for future research, asking it to delve into how the research world is addressing the ethical dimension of AI in HE.