9 papers
Do Large Language Models Encode Institutional Experience? Evidence from Cross-Linguistic Moral Reasoning Under Ambiguity
Nattavudh Powdthavee
Large language models (LLMs) exhibit systematic differences in moral reasoning across languages, yet the source of this variation remains unclear. We test the hypothesis that langu…
Large Language Models Outperform Humans in Fraud Detection and Resistance to Motivated Investor Pressure
Nattavudh Powdthavee
Large language models trained on human feedback may suppress fraud warnings when investors arrive already persuaded of a fraudulent opportunity. We tested this in a preregistered e…
How Much do People Care about Climate Natural Disasters?
Aatishya Mohanty, Nattavudh Powdthavee, Cheng Keat Tang +1
Scientists agree about the urgency of the problem of climate change. Most citizens, however, pay little attention to gradually increasing temperature levels. Growing numbers of nat…
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…
Simulating Life Paths with Digital Twins: AI-Generated Future Selves Influence Decision-Making and Expand Human Choice
Rachel Poonsiriwong, Chayapatr Archiwaranguprok, Constanze Albrecht +6
Major life transitions demand high-stakes decisions, yet people often struggle to imagine how their future selves will live with the consequences. To support this limited capacity…