AI at UFV

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Teach with AI

Artificial intelligence is reshaping teaching and learning across post-secondary education. At UFV, instructors are encouraged to engage thoughtfully with AI in ways that support learning outcomes, uphold academic integrity, and reflect the university’s commitment to ethical and responsible innovation.

UFV’s Teaching and Learning Centre (TLC) provides guidance to help instructors apply UFV’s AI Principles in their teaching practice. These guidelines support flexible, forward-thinking pedagogy while encouraging instructors to critically consider risks related to data privacy, bias, transparency, and student equity.

Instructors retain autonomy over how and whether AI is used in their courses, within the framework of UFV policies and academic standards.

TLC Guidelines for Teaching with AI

The TLC has developed AI guidelines that help instructors:

  • Design assessments aligned with learning objectives
  • Make informed decisions about AI use in coursework
  • Encourage transparency and ethical engagement with AI
  • Support student learning while reducing unintended risks

These guidelines promote openness to innovation while emphasising responsible and reflective teaching practices.

AI guidelines from TLC

UFV's position on AI detection tools

UFV does not approve AI detection tools at this time. Current research shows detection tools:

  • Produce frequent false positives and false negatives
  • Cannot show where flagged content may come from
  • Demonstrate bias, especially toward non-native English writers

Because these tools may cause academic harm, UFV has chosen not to implement them until accuracy improves.

Research on Detection Tool Reliability

Evidence shows detection tools are unreliable. Studies include:

Additional Resources for Instructors

UFV encourages faculty to explore these resources to support ethical, innovative teaching with AI:

  • UFV Library AI Tools for Faculty: UFV Library offers a curated set of AI tools to help faculty explore practical, ethical, and pedagogically sound uses of generative AI in teaching and research. Grounded in UFV’s institutional AI principles, these resources support instructors in integrating AI responsibly, enhancing course design, research workflows, and information literacy while maintaining transparency and academic integrity.
  • A Guide to Generative AI for Educators (SAIT): Ryan Mann at SAIT has compiled this guide to support instructors in using AI constructively for enhancing teaching and learning. The guide shares ways in which AI can serve as a teaching aid and a learning tool, while also cautioning instructors about challenges around data privacy, transparency, and appropriate use  of AI. It is a useful resource for faculty and instructors to use in conjunction with the AI principles and guidelines referenced above.
  • The Curious Educator's Guide to AI: This open educational resource authored by Kyle Mackie and Erin Aspenlieder, aims to inform educators of the academic possibilities that generative AI offers, while also discussing the challenges involved in its application in education. It not only shares practical ways to use generative AI for enhancing teaching and learning but also communicates the importance of reflection and evaluation in an effort to promote ethical and responsible use.
  • The Artificial Intelligence Assessment Scale (AIAS):Perkins et al. (2024) have designed this simple yet comprehensive tool for educators to use for determining the extent to which generative AI may be used in assessments within their courses. The tool is based on the foundational assertion that the use of generative AI should be permissible to the extend that it does not contradict learning objectives of the course, and provides a framework for educators to apply to their pedagogical practice.
  • Five Principles for the Effective Ethical Use of Generative AI: This website outlines five student-centred principles that foster effective and ethical use of generative AI in education. It also presents practical strategies that educators can adopt to implement each of these principles.
  • Introduction to Generative AI for Educators (McMaster University): This online module aims to provide educators with an understanding of generative AI to help them think through how these technologies intersect with their teaching practices. Whether you have reservations or enthusiasm about AI in education, “Introduction to Generative AI for Educators” offers a space for exploration and thoughtful consideration. Topics include: what GenAI is, what GenAI tools can/can’t GenAI tools do, how to use GenAI tools, and how GenAI is changing the teaching and learning landscape.

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