Can a Large Language Model Judge a Child’s Statement?: A Comparative Analysis of ChatGPT and Human Experts in Credibility Assessment

The findings reveal a profound gap between the nuanced, contextual reasoning of human experts and the pattern-recognition capabilities of the LLM tested. The study concludes that this type of AI, in its current, prompt-engineered form, cannot reliably replicate expert judgment in the complex task of credibility assessment. While not a viable autonomous evaluator, it may hold potential as a "cognitive assistant" to support expert workflows. The assessment of child testimony credibility remains a task that deeply requires professional judgment and appears far beyond the current capabilities of such generative AI models.