Publish audit logs showing when an AI recommendation was accepted, challenged, or reversed by staff so communities see accountability rather than black boxes.

Co-design interfaces with peer-support volunteers so they can annotate transcripts with context such as bullying or housing stress that algorithms often miss.

Use AI to produce two-minute “emotional weather reports” that clinicians review before calling back so the tech spots red flags but humans still own tone, pacing, and next steps.

Pair triage bots with short narrative diaries contributed by callers to ensure that stories, not just scores, inform policy debates about resourcing mental health care.

Clinical guardrails matter: models should only prioritize queues and draft safety plans while escalations, meds, and discharge decisions remain human-led with transparent overrides.