For this second installment of our 2025 Summer Asynchronous Professional Development, we offer two activities to help you reflect on how you can navigate ethical considerations when using artificial intelligence (AI) for teaching and learning. While the tools continue to evolve, the ethical considerations associated with AI aren’t changing as quickly. Learning how your AI use – and your students’ AI use – intersects with privacy, data security, fairness, and more, increases your capacity for making responsible choices.
Activity 1 – Approaching Generative Artificial Intelligence Ethically
by Carolyn Ives, Diane Janes, and Brett McCollum
Whether it’s discussed in class or not, generative artificial intelligence (AI) has already transformed how many students work. If we want to make sure that transformation is a positive one, we can help learners think about ethical uses of AI, considering issues such as bias, fairness, privacy, data security, transparency, accountability, and the human dimension.
The World Economic Forum presents seven guiding principles for the use of AI in educational institutions:
- Purpose: Explicitly connect the use of AI to educational goals
- Compliance: Affirm adherence to existing policies
- Knowledge: Promote AI Literacy
- Balance: Realize the benefits of AI and address the risks (and they’ve included a helpful graphic outlining both the benefits and the risks)
- Integrity: Advance academic integrity
- Agency: Maintain human decision-making
- Evaluation: Continuously assess the impact of AI. (WEF, 2024)
The link above expands on each of these principles, often with links to additional resources.
After reading the webpage linked above, choose one of the seven principles and journal your thoughts related to that topic. We encourage you to capture a few notes about your current understanding of the principle, your concerns connected to it, and some optimistic thoughts on how that principle can improve student learning in your classrooms. Next, add an event in your calendar for you to look back at your notes in exactly one year. In your own role as a learner, it will be interesting to see how your understanding, perceptions, or predictions change between now and next year.
If you are looking for more information on ethical engagement with Artificial Intelligence, there are several TRU resources available as well, such as TRU’s libguide titled Artificial Intelligence: A Guide for Students, including sections about appropriate and inappropriate uses for AI: https://libguides.tru.ca/artificialintelligence. The AI in Education website developed by the Learning Technology & Innovation team also includes a section with a Critical AI Framework with a section about ethical considerations: https://aieducation.trubox.ca/critical-ai-framework/. This website is also being updated.
You can also check out these links on AI ethics from other institutions:
Center for Teaching Innovation. (2025). Ethical AI for teaching and learning. Cornell University. https://teaching.cornell.edu/generative-artificial-intelligence/ethical-ai-teaching-and-learning
James Madison University Libraries. (2025, May 2). Artificial intelligence (AI) in education: AI and ethics [libguide]. https://guides.lib.jmu.edu/AI-in-education/ethics
Moquin, S. (2024, November 26). Ethical considerations for AI use in education [blog post]. https://www.enrollify.org/blog/ethical-considerations-for-ai-use-in-education
Activity 2 – Approaching Indigenous data sovereignty with respect when using AI
by Diane Janes and Carolyn Ives
AI use in Indigenous education and in reconciliation work for all educational experiences involves additional considerations for ethical and respectful practice. Through thoughtful design, learning activities are expected to address Indigenous data sovereignty, cultural protocols, and respectful partnerships. This includes prioritizing Indigenous-led initiatives, nurturing collaboration, and ensuring that AI development and implementation are guided by Indigenous knowledge systems and values. The links below are just a short list at the beginning of the conversations that are happening between Indigenous and allied educators on how to engage in AI; being respectful when engaged with Indigenous ways of knowing, as curriculum is designed and created using AI.
For this activity, we invite you to listen to the Radical AI Podcast interview with Jason Edward Lewis. Lewis is a Hawaiian and Samoan digital media theorist, Professor of Computation Arts at Concordia University, and University Research Chair in Computational Media and the Indigenous Future Imaginary. The podcast is longer than the material we often choose for this PD series (it’s about an hour long), but we think you will find it worth your time.
Additional resources on this topic include the following:
Bhattacharjee, R. (2024). Indigenous data stewardship stands against extractivist AI. https://www.arts.ubc.ca/news/indigenous-data-stewardship-stands-against-extractivist-ai/
Government of Canada (2025) Indigenous-Led AI: How Indigenous Knowledge Systems Could Push AI to be More Inclusive. Research stories: New frontiers in research fund. https://sshrc-crsh.canada.ca/funding-financement/nfrf-fnfr/stories-histoires/2023/inclusive_artificial_intelligence-intelligence_artificielle_inclusive-eng.aspx
Cardona-Rivera, R.E., Alladin, J.K., Litts, B.K., & Tehee, M. (2024). Indigenous Futures in Generative Artificial Intelligence: The Paradox of Participation. Chapter 14 In Teaching and generative AI by Buyserie, B. & Thurson, T.N.(Eds). https://uen.pressbooks.pub/teachingandgenerativeai/
Indigenous data sovereignty protocols, and risks of harm. (2024). Section 1C in Principles and guidelines for generative artificial intelligences (GenAI) in teaching and learning. University of British Columbia. https://it-genai-2023.sites.olt.ubc.ca/files/2024/08/Guidelines-GenAI_TL.pdf
Symposium: S4-194. (2024). Open Science, Indigenous Data Sovereignty and the Decolonization of Knowledge Systems. Audio from the Panel discussion. https://sciencepolicy.ca/posts/s4-192/
TheGovLab. (2021). AI Ethics Course: Indigenous Data Sovereignty by Maui Hudson. YouTube video. https://www.youtube.com/watch?v=g8qeZihLf1Q