Child Adolesc Ment Health. 2025 Nov 12. doi: 10.1111/camh.70045. Online ahead of print.
ABSTRACT
Artificial intelligence may be able to improve the efficiency, accuracy and predictiveness of mental health assessments, and public perspectives are crucial to ensuring these tools are implemented with fairness and accountability. We developed an artificial intelligence-driven tool to automatically analyse parents’ speech data, which if successful could be implemented in children and young people’s mental health assessments. To engage stakeholders with this project, we worked with a science fiction writer to produce two stories about possible futures of our tool, which we discussed in workshops with young people and parents. Here, we summarise key themes arising from this novel method of engaging the public in mental health research, and highlight considerations for clinicians and researchers creating novel technologies for children and young people’s mental healthcare.
PMID:41224241 | DOI:10.1111/camh.70045
