Hi! I'm a postdoc at Cornell University working with Dr. Qian Yang on designing novel AI products and their policies simultaneously (focusing on mental health). I'm interested in understanding how we can responsibly design and deploy applications based on general-purpose models in highly regulated industries.
I also collaborate with Google Research, exploring ways to make AI systems work better across 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
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. Conference on Language Modeling (COLM '25).
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 RodrÃguez 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).