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 (though I am always keen to branch out!). 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 have experience as a human rights lawyer with the Aboriginal Legal Service in Australia (criminal defence) and Transparency International in Guatemala (anti-corruption and election monitoring). I have also worked in strategy and policy roles, with NBN Co on broadband networks and with Nous Group in various projects in Australia and the UK.


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