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Artificial Intelligence: A Guide for Students

Academic Integrity Course

 

Learn more about the Camosun Academic Integrity Course

Ethical Considerations of AI

Copyright and intellectual property

The materials used to create many AI training 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 (equity, diversity, and Inclusion) 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:  TRU Learning Technology & Innovation's AI in Education website (Used with permission).

Some Harm Considerations of Large Language Models (LLMs)