Ned Cooper
I figure out how to design and govern AI systems in high-stakes domains — where getting deployment right really matters.
My research spans responsible design frameworks for AI mental health products, participatory approaches to ML development, and evaluating LLM capabilities like theory of mind and persuasion.
Currently I'm postdoctoral researcher in the DesignAI studio at Cornell, and an affiliate of the MINT and Social-Centered AI labs.
Previously, I worked at Google Research on speech technologies for underserved language communities.
Before academia, I spent eight years across strategy consulting, infrastructure delivery, and human rights law -- including managing network strategy and regulatory policy for Australia's national broadband rollout, and criminal defense work with Aboriginal communities.
Email: ned [dot] cooper [at] cornell [dot] edu
RECENT PUBLICATIONS:
Designing AI
- Ned Cooper, Jose A. Guridi, Angel Hsing-Chi Hwang, Beth Kolko, Emma Elizabeth McGinty, Qian Yang. 2026. Framing Responsible Design of AI for Mental Well-Being: AI as Primary Care, Nutritional Supplement, or Yoga Instructor?. ACM Conference on Human Factors in Computing Systems (CHI).
- 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).
Evaluating AI
- Jared Moore, Rasmus Overmark*, Ned Cooper*, Beba Cibralic, Nick Haber, Cameron R. Jones. 2026. Large Language Models Persuade Without Planning Theory of Mind. arXiv.
- 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).
*Equal contribution