Hi! I'm a PhD candidate at the College of Engineering, Computing & Cybernetics and a Research Affiliate of the MINT Lab, both at the Australian National University. I primarily conduct research in the areas of human-AI interaction and AI regulation and policy. My PhD research critically examines existing approaches to participatory machine learning and proposes new methodologies grounded in HCI principles.
During my PhD, I have worked at Google Research, researching ways to make AI inclusive of diverse languages and dialects. Previously, I was a human rights lawyer and strategy consultant working in Australia, the UK, and Guatemala.
I'm always up for learning and collaborating across disciplines/cultures/species. Please reach out if you'd like to explore ideas, or just go wandering.
Ned Cooper and Alexandra Zafiroglu. 2024. From Fitting Participation to Forging Relationships: The Art of Participatory ML. Conference on Human Factors in Computing Systems .
Ned Cooper, Courtney Heldreth, and Ben Hutchinson. 2024. "It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technology. Conference of the European Chapter of the Association for Computational Linguistics .
Skyler Wang*, Ned Cooper*, and Margaret Eby. 2023. From Human-Centered to Social-Centered Artificial Intelligence: Assessing ChatGPT's Impact through Disruptive Events. Big Data & Society.
Ned Cooper, Tiffanie Horne, Gillian R. Hayes, Courtney Heldreth, Michal Lahav, Jess Holbrook, and Lauren Wilcox. 2022. A Systematic Review and Thematic Analysis of Community-Collaborative Approaches to Computing Research. Conference on Human Factors in Computing Systems .