Ned Cooper

Ned Cooper's profile picture

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.

SELECT PUBLICATIONS:

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).

*Equal contribution