Large language models' knowledge of children's memory and suggestibility: Evaluating model predictions of prior experimental results.

Journal: Acta psychologica
Published Date: Jul 9, 2025

Abstract

BACKGROUND: Accurately predicting children's memory and suggestibility in forensic contexts, such as child sexual abuse (CSA) investigations, remains challenging for human professionals. Large Language Model (LLM), as an advanced natural language processing tool, has demonstrated excellent capabilities in both medical decision-making and assisted investigation.

Authors

  • Pekka Santtila
    New York University Shanghai, Shanghai, China; Shanghai Frontiers Science Center of Artificial Intelligence and Deep Learning, New York University Shanghai, Shanghai, China.
  • Yongjie Sun
    New York University Shanghai, Shanghai, China; The School of Psychology and Cognitive Science, East China Normal University, Shanghai, China. Electronic address: ys6261@nyu.edu.
  • Kristjan Kask
    School of Natural Sciences and Health, Tallinn University, Estonia.
  • Liisa Järvilehto
    Åbo Akademi University, Turku, Finland; Forensic Psychology Center for Children and Adolescents, Helsinki University.
  • Jiaxing Xiu
    Zhengzhou University, Henan, China.

Keywords

External Resources

Popular Topics
Recent Journals