Technology matters: AI ‐driven tools in children's mental healthcare: perspectives from young people and parents

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 4 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.