Ned Cooper

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Hi! I'm a PhD candidate at the College of Engineering, Computing & Cybernetics, Australian National University. I primarily conduct research in the areas of Responsible AI, 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.

Previously, I worked at Google Research, researching ways to make AI inclusive of diverse languages and dialects. I also have experience as a human rights lawyer with the Aboriginal Legal Service in Australia and Transparency International in Guatemala, and in strategy and policy roles in Australia and the UK.

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 (CHI '24).

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. Proceedings of the Conference of the European Chapter of the Association for Computational Linguistics (EACL '24).

Skyler Wang*, Ned Cooper*, and Margaret Eby. 2023. From Human-Centered to Social-Centered Artificial Intelligence: Assessing ChatGPT's Impact through Disruptive Events. Under review.

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 (CHI '22).

Ned Cooper. 2022. Would the Trees Dim the Lights? Adopting the Intentional Stance for More-Than-Human Participatory Design. Participatory Design Conference (PDC '22).

*Equal contribution