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TRUVACE RECORD VERSION
record: TRV-2026-0463
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-20T11:07:22.660308Z
status: published
lens: p_space
sector: health
headline: Enabling access or automating empathy? Using chatbots to support GBV survivors in conflicts and humanitarian emergencies
dek: Abstract Interest in the use of chatbots powered by large language models (LLMs) to support women and girls in conflicts and humanitarian crises, including survivors of gender-based violence (GBV), appears to be increasing. Chatbots could offer a last-resort solution for GBV survivors who are unable or unwilling to access relevant information and support in a safe and timely manner. With the right investment and guard-rails, chatbots might also help treat some symptoms related to mental health and psychosocial c…
gain_title: (none)
problem_title: LLM chatbots supporting GBV survivors can generate hallucinations or errors that create unintended harms for individual users.
trace_subject: (none)
gain_reading: (none)
gain_evidence: (none)
problem_reading: LLM chatbots supporting GBV survivors can generate hallucinations or errors that create unintended harms for individual users.
problem_evidence: generating unintended harms when a chatbot hallucinates or produces errors
quick_read: Published 7 November 2025 in International Review of the Red Cross, this peer-reviewed analysis examined proposals to use LLM-powered chatbots to provide direct care, information and mental health and psychosocial support to women and girls in armed conflicts and humanitarian emergencies, with a focus on gender-based violence survivors.

It matters because extending care via chatbots could fill gaps where safe access is impossible, yet the paper finds risks of hallucination-driven harm and a thin evidence base for trauma outcomes in emergency settings, leaving uncertainty about safety, effectiveness and appropriate guard-rails in high-stakes deployments.
limitation: Evidence base is limited to global North loneliness outcomes with little evidence for crisis counselling effectiveness for GBV in emergencies.
tag: Evidence-backed problem
key_points: Paper examines LLM-powered chatbots providing direct care to women and girls in conflicts and humanitarian crises, focused on GBV survivors. | Authors note chatbots are proposed as last-resort when survivors are unable or unwilling to access safe timely information and support. | Review draws on expert interviews and adjacent fields including feminist AI, trauma treatment, GBV, and MHPSS in emergencies. | Conclusion states potential benefits of GBV-related AI-enabled talk therapy chatbots do not yet outweigh risks in high-stakes armed conflict and humanitarian contexts.
rundown: The peer-reviewed paper reviewed interest in large language model chatbots as last-resort information and psychosocial support for women and girls in conflicts and humanitarian crises, including GBV survivors unable to access safe services.

Authors found some evidence from the global North for reduced loneliness, but less evidence for effectiveness in crisis counselling and treating depression and post-traumatic symptoms related to GBV in emergencies, and flagged hallucination-related harms.
sources:
- peer_reviewed | International Review of the Red Cross | https://doi.org/10.1017/s1816383125100763 | 2025-11-07
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