Ned Cooper

Hi! I'm a postdoc in the DesignAI Group at Cornell. I work with Dr. Qian Yang on designing novel AI products and their policies simultaneously (focusing on mental health and well-being). I also collaborate with Google Research, exploring ways to make AI work better for various languages and dialects.

My research is informed by my past work as a strategy consultant and human rights lawyer in Australia, the UK, and Guatemala (2012-2020).

If you want to collaborate on any projects related to human-AI interaction design or AI policy, please reach out!

Email: ned [dot] cooper [at] cornell [dot] edu

RECENT PUBLICATIONS:

On evaluating LLMs

Jared Moore, Ned Cooper, Rasmus Overmark, Beba Cibralic, Nick Haber, Cameron R. Jones. 2025. Do Large Language Models Have a Planning Theory of Mind? Evidence from MINDGAMES: a Multi-Step Persuasion Task. Second Conference on Language Modeling (COLM).
Glen Berman, Ned Cooper, Wesley Hanwen Deng, Ben Hutchinson. 2024. Troubling Taxonomies in GenAI Evaluation. NeurIPS Workshop on Examining Best Practices for Measuring Broader Impacts of Generative AI.
Skyler Wang*, Ned Cooper*, Margaret Eby. 2024. From human-centered to social-centered artificial intelligence: Assessing ChatGPT's impact through disruptive events. Big Data & Society.

On participation in ML development

Ned Cooper and Alexandra Zafiroglu. 2025. Constraining Participation: Affordances of Feedback Features in Interfaces to Large Language Models. ACM Journal on Responsible Computing.
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).
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).
Ned Cooper, Courtney Heldreth, Ben Hutchinson. 2024. "It’s how you do things that matters”: Attending to Process to Better Serve Indigenous Communities with Language Technologies. Conference of the EU Chapter of the Association for Computational Linguistics (EACL).

*Equal contribution