Student Guidelines for Responsible Use of AI in Higher Education

Generative artificial intelligence (AI) is rapidly reshaping higher education by enabling students to draft text, generate code, solve problems, and summarize sources at scale. At the same time, these tools raise practical questions about academic integrity, authorship, privacy, and the preservation of essential learning skills. This paper proposes ten student-facing guidelines for responsible, ethical, and effective use of generative AI in coursework. Grounded in recent scholarship and major policy frameworks, the guidelines emphasize purposeful use aligned with learning outcomes, transparent attribution and plagiarism prevention, protection of privacy and sensitive information, responsible collaboration norms, instructor communication, and critical evaluation of AI outputs. Unlike broad institutional policies, the proposed framework is designed for course-level adoption and can be shared in syllabi, learning management systems, and orientation programs to support consistent expectations and promote authentic student learning.