AI For Faculty

Guiding principles about AI

  • At CEETL, we approach AI and emerging technologies as tools that may be used to enhance teaching and scholarship, and to increase equity, accessibility, and engagement for students.
  • We center faculty’s expertise and students’ experiences; we recognize that disciplines may vary in their approaches to technology.
  • We center critical approaches to technology rooted in SFSU’s shared principles of equity and social justice. 

Many SFSU faculty are reimagining their classrooms to address new technologies: embedding AI literacy skills and knowledge into their curriculum, talking with students about how tools shape their academic work, and redesigning assignments to ensure students are prepared for the future. Faculty are also wondering about, and working on, issues of academic integrity regarding student use of AI tools. See this CEETL Circle Video to learn more about SFSU faculty concerns about AI and academic integrity. You can also read about strategies for making your classroom AI-resistant in this article by CEETL Faculty Director Professor Jennifer Trainor, here. Whatever your stance is with AI, CEETL recommends transparency with students. SFSU's revised Course Syllabus Policy #S25-257, Section I requires faculty to include "A statement as to how and why generative AI tools can and cannot be used". The AI Teaching guide below provides examples of syllabus statements and ways to address academic integrity. 

CEETL is pleased to support faculty innovation and to partner with faculty as we work through the implications of new technology for our students. As part of that support, we have developed what we are calling Three Laws of Curriculum in the Age of AI, a play on Isaac Asimov’s “Laws of Robotics,” written to ensure that humans remained in control of technology. Our Three laws are not laws per se; they are a framework for addressing the use of AI tools in the curriculum at all levels, from the individual classroom to degree roadmaps for disciplinary programs, from general education through graduate courses. The framework is designed to support curricular innovation as faculty incorporate emerging tools and technologies into their teaching. 

The first law encourages faculty to teach students about Gen AI in ways appropriate to their discipline and course level. Teaching about AI means teaching students how the technology works, its biases and limitations, and its potential harms. The second law encourages faculty to develop teaching strategies for teaching students to work with AI tools where appropriate, to enhance student learning and to prepare students with the AI skills and familiarity they may need in the future. The third law encourages faculty to protect student learning from AI shortcuts by redesigning assignments to make them AI-resistant where possible. For more on the Three Laws framework, look at this essay in Inside Higher Ed.

Not sure how and where to start? 

Read CEETL's Guide for Teaching and Learning with GenAI (Updated Fall 2025)

Examples of approaches taken by faculty with respect to GenAI in the classroom (Updated Spring 2026)

Scholarship of Teaching and Learning with AI (Updated April 2026)