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Empathy, bias, and data responsibility

Evaluating AI chatbots for gender-based violence support

Bibliographic Data

ID13137232
AuthorsBorja Sanz (0000-0003-2039-7773, Universidad de Deusto, corresponding author), María López Belloso (0000-0003-4857-2967, Universidad de Deusto), Ainhoa Izaguirre-Choperena (Universidad de Deusto)
Year2025
Volume7
Publication date2025-07-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Political Science (JOURNAL)
Journal identifiersISSN: 2673-3145 • E-ISSN: 2673-3145
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpos.2025.1631881
OpenAlexW4412748461
LanguageEN
Citations received1
References cited30

Artificial Intelligence (AI) chatbots are increasingly deployed as support tools in sensitive domains such as gender-based violence (GBV). This study evaluates the performance of three conversational AI models—including a general-purpose Large Language Model (ChatGPT), an open-source model (LLaMA), and a specialized chatbot (AinoAid)—in providing first-line assistance to women affected by GBV. Drawing on findings from the European IMPROVE project, the research uses a mixed-methods design combining qualitative narrative interviews with 30 survivors in Spain and quantitative natural language processing metrics. Chatbots were assessed through scenario-based simulations across the GBV cycle, with prompts designed via the Systematic Context Construction and Behavior Specification method to ensure ethical and empathetic alignment. Results reveal significant differences in emotional resonance, response quality, and gender bias handling, with ChatGPT showing the most empathetic engagement and AinoAid offering contextually precise guidance. However, all models lacked intersectional sensitivity and proactive attention to privacy. These findings highlight the importance of trauma-informed design and qualitative grounding in developing responsible AI for GBV support

Empathy · Death Anxiety and Social Exclusion · Digital Mental Health Interventions · Grief, Bereavement, and Mental Health · Psychology · Social Psychology

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Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

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