Hi! I'm a PhD candidate at the ANU College of Engineering, Computing & Cybernetics and a Research Affiliate of the MINT Lab. My research sits at the intersection of human-AI interaction and AI policy, specifically exploring how to empower communities to actively shape machine learning development.
In August, I'll be joining Cornell as a postdoctoral researcher working with Dr. Qian Yang on designing novel AI products and their policies simultaneously.
I also collaborate with Google Research, exploring ways to make AI work better for various languages and dialects. Before academia, I was a strategy consultant and lawyer in Australia, the UK, and Guatemala (2012-2020).
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.
Ben Hutchinson, Celeste Rodríguez Louro, Glenys Collard, and Ned Cooper. 2025. Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participation. ACM Conference on Fairness, Accountability, and Transparency (FAccT ’25).
Ned Cooper and Alexandra Zafiroglu. 2024. From Fitting Participation to Forging Relationships: The Art of Participatory ML. ACM 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. 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. 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. ACM Conference on Human Factors in Computing Systems (CHI '22).