67 citations · 73 across the 14 of their papers we have counts for
4 papers · 1 filter
AI-Generated Letters from the Future: A Randomized Test of Personalized Climate Communication
Nattavudh Powdthavee, Pat Pataranutaporn, Sandra J. Geiger +2
We examined whether personalized, AI-generated letters from the future can increase public engagement with climate action. In a preregistered online experiment with 1,654 U.S. pare…
Large language models accurately predict public perceptions of support for climate action worldwide
Nattavudh Powdthavee, Sandra J. Geiger
Although most people support climate action, widespread underestimation of others' support stalls individual and systemic changes. In this preregistered experiment, we test whether…
Can AI Solve the Peer Review Crisis? A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers
Pat Pataranutaporn, Nattavudh Powdthavee, Chayapatr Achiwaranguprok +1
This study examines the potential of large language models (LLMs) to augment the academic peer review process by reliably evaluating the quality of economics research without intro…
Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
Pat Pataranutaporn, Nattavudh Powdthavee, Pattie Maes
Surnames often convey implicit markers of social status, wealth, and lineage, shaping perceptions in ways that can perpetuate systemic biases and intergenerational inequality. This…