Perceptions of the utility and ethicality of generative Artificial Intelligence in psychological science research

Read full text
Authors: Nathaniel L. Phillips, Joshua D. Miller, Donald R. Lynam, Leigha Rose, Ashmita Ghosh, Mary Beth McGavran, Jonathan M. Golding
Cited by: 0

Abstract

Artificial Intelligence (AI) has become increasingly integrated into research in psychological science. There appear to be both potential benefits and drawbacks to these tools, sparking debate regarding utility and ethicality. In the present study, we aim to survey graduate students and faculty conducting research across subfields of psychology in the United States to ascertain prevalence and perceptions of the use of AI. This investigation will provide descriptive statistics regarding the prevalence of various uses of AI in psychological research (e.g., for designing studies, statistical coding, writing manuscripts, etc.). Participants will also rate perceived ethicality of these uses and be prompted to explain their reasoning. Responses will be compared across subdisciplines of psychology and other relevant variables (e.g., career stage), providing useful benchmarks for evaluating the complex costs and benefits of AI, potentially informing future guidelines and policy around this topic.

Fields of Study & Subjects

Ethics and Social Impacts of AI Artificial Intelligence Applications Psychology Research and Bibliometrics

Publication details

Publication date
1 January 2026
Document type
Preprint