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Acknowledgements
Design + Development
Operationalization
Future Legacy
Carbon Footprint
Extractive Industries
Salvage Industries
Exploitative Labour to “Train” Datasets
Extractive Labour from Users, Intellectual Property / Copyright & Privacy Issues
Automation of Low-wage Work = Increased Precarity/Unemployment for Marginalized
Designed to Benefit the Most Privileged
Designs Affirm & Amplify Normative Privilege Bias
Access Discrimination
Reproduces & Amplifies Access Barriers
Western Ontologically/Epistemically Biased Data
Biased Data Reproduces & Amplifies Bias, Exclusion
Toxic Dominant Culture Maintains Norms of Oppression
Ongoing Discrimination, Exclusion, Harms
Credits
The original Image Hotspot created by Rebecca Sweetwater
Cover Image – Photo by Martin Martz on Unsplash
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Harm Considerations of Large Language Models (LLMs) Copyright © by Teaching and Learning, University Libraries is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License, except where otherwise noted.