This guide is adapted from "Artificial Intelligence: A Guide for Students" by Brenda Smith at Thompson Rivers University, which (unless otherwise stated) is licensed under a Creative Commons Attribution Non-Commercial Share Alike (CC BY-NC-SA 4.0). Brenda Smith's guide is adapted from "Artificial Intelligence" by Ulrike Kestler, used under CC BY-NC-SA 4.0.
"Some Harm Considerations of Large Language Models (LLMs)" by Rebecca Sweetman is licensed under CC BY-NC-SA 4.0.
Copyright and intellectual property: The materials used to create the data sets are largely taken without permission or informed consent, and it has not yet been legally determined who owns its outputs. Consider how using this tool might complicate our understanding of academic integrity and what it means to “do your own work.”
Labour issues: Like many technological tools we rely on, ChatGPT is made usable because of underpaid and traumatic labour in the Global South. Consider how using this tool might trouble our collective values relating to EDI and decolonial principles.
Discrimination: Because AI data sets come from our real world, with all its inherent racism, ableism, sexism, and so on, AI tools can also generate discriminatory outcomes. Consider how using this tool might trouble our understanding of equitable inclusion.
Climate change: The race to develop increasingly sophisticated Generative AI is not carbon neutral. Consider how using this tool might trouble our sustainability values.
Source: AI in Education website by Thompson Rivers University's Learning Technology & Innovation (CC BY-NC 4.0).