AI, Reconciliation, and Settler Teachers’ Mediated Morality
DOI:
https://doi.org/10.29173/irie532Keywords:
artificial intelligenceAbstract
This case study addresses the integration of generative AI (GenAI) within educational practices, particularly in
the context of reconciliation and decolonization of curriculum in Canadian schools. The case focuses on a
teacher using ChatGPT to generate Cree star stories for a grade 4/5 science unit, aiming to fulfill the Truth and
Reconciliation Commission's (TRC) educational calls to action. The study explores the ethical implications of
using AI to include diverse knowledge traditions, questioning the potential harms and benefits, and highlighting
the challenges of ensuring AI aligns with Indigenous epistemologies. Normative ethical theories and the
TechnoEthical Framework for Teachers (TEFT) are employed to examine how AI technologies shape and
mediate teacher practices and pedagogical responsibilities.
References
Adam, Taskeen. "Digital Neocolonialism and Massive Open Online Courses (MOOCs): Colonial Pasts and Neoliberal Futures." Learning, Media and Technology, vol. 44, no. 3, 2019, pp. 365-380. DOI: https://doi.org/10.1080/17439884.2019.1640740
Adams, Catherine, and Sean Groten. "A TechnoEthical Framework for Teachers." Learning, Media and Technology, 2023, pp. 1-18. DOI: https://doi.org/10.1080/17439884.2023.2280058
Adams, Catherine, and Terrie Lynn Thompson. Researching a Posthuman World: Interviews with Digital Objects. Palgrave Macmillan, 2016. DOI: https://doi.org/10.1057/978-1-137-57162-5
Alberta Education. Teaching Quality Standard (TQS). 2021, https://www.alberta.ca/system/files/custom_downloaded_images/ed-teaching-quality-standard-english-print-ready.pdf.
Alberta Education. Science Kindergarten to Grade 6 Curriculum. 2023, https://curriculum.learnalberta.ca/printable-curriculum/en/home.
Bartlett, Cheryl, Murdena Marshall, and Albert Marshall. "Two-Eyed Seeing and Other Lessons Learned within a Co-Learning Journey of Bringing Together Indigenous and Mainstream Knowledges and Ways of Knowing." Journal of Environmental Studies and Sciences, vol. 2, no. 4, 2012, pp. 331-340. DOI: https://doi.org/10.1007/s13412-012-0086-8
Bryant, Rebecca, and Daniel M. Knight. The Anthropology of the Future. Cambridge University Press, 2019.
Buck, Wilfred. Tipiskawi Kisk: Night Sky Star Stories. Manitoba First Nations Education Resource Centre Inc., 2018.
Cave, Stephen, and Kanta Dihal. "The Whiteness of AI." Philosophy & Technology, vol. 33, no. 4, 2020, pp. 685-703. DOI: https://doi.org/10.1007/s13347-020-00415-6
Christian, Brian. The Alignment Problem: Machine Learning and Human Values. W.W. Norton & Company, 2020.
Government of Canada. Truth and Reconciliation Commission (TRC). 2022, https://www.rcaanc-cirnac.gc.ca/eng/1450124405592/1529106060525.
Government of Canada. Education for Reconciliation. Delivering on Truth and Reconciliation Commission Calls to Action. 2023, https://www.rcaanc-cirnac.gc.ca/eng/1524504501233/1557513602139.
Introna, Lucas. "Phenomenological Approaches to Ethics and Information Technology." The Stanford Encyclopedia of Philosophy, Fall 2017 Online Edition, edited by Edward N. Zalta, 2017.
Lewis, Jason Edward, Noelani Arista, Archer Pechawis, and Suzanne Kite. "Making Kin with the Machines." Journal of Design and Science, 2018, https://doi.org/10.21428/bfafd97b. DOI: https://doi.org/10.21428/bfafd97b
OpenAI. "Cree Star Stories Examples." ChatGPT, 5 July 2024, https://chatgpt.com/share/e/cc83de73-20a1-4fd5-b4e0-c44111ab16eb.
Verbeek, Peter-Paul. "Postphenomenology and Ethics." Technology Ethics: A Philosophical Introduction and Readings, edited by Gregory J. Robson and Jonathan Y. Tsou, Routledge, 2023, pp. 42-51.
Vizenor, Gerald. Survivance: Narratives of Native Presence. University of Nebraska Press, 2008.
Wilson, Shawn. Research as Ceremony: Indigenous Research Methods. Fernwood Publishing, 2008.
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