Artificial Intelligence (AI) is rapidly transforming higher education, particularly in content creation, offering tools for personalized learning and automated resource generation. While this presents significant opportunities, it also raises critical ethical concerns regarding academic integrity, intellectual property, data privacy, bias, and the professor-student relationship. Addressing these challenges requires a robust framework to validate AI-generated educational content. This paper proposes a Delphi method-based methodology to achieve expert consensus on the ethical validation of such content. The Delphi method, with its iterative, anonymous, and feedback-controlled structure, is well-suited for navigating complex, novel issues lacking definitive answers. This study outlines the application of the Delphi process, from problem definition and expert panel selection to the development of questionnaires centered on key ethical criteria identified from the literature. The primary objective is to establish a validated set of guidelines and practical indicators for educators and institutions to ensure the responsible and ethical adoption of AI in educational content creation. This research aims to fill a critical gap by providing a structured approach to integrating AI responsibly into academic practices, safeguarding core educational values.