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| Format: | Preprint |
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2025
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| Online-Zugang: | https://arxiv.org/abs/2508.07671 |
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| _version_ | 1866911101170483200 |
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| author | Barhdadi, Mohamed Rayan Tuncel, Mehmet Serpedin, Erchin Kurban, Hasan |
| author_facet | Barhdadi, Mohamed Rayan Tuncel, Mehmet Serpedin, Erchin Kurban, Hasan |
| contents | Current AI approaches to refugee integration optimize narrow objectives such as employment and fail to capture the cultural, emotional, and ethical dimensions critical for long-term success. We introduce EMPATHIA (Enriched Multimodal Pathways for Agentic Thinking in Humanitarian Immigrant Assistance), a multi-agent framework addressing the central Creative AI question: how do we preserve human dignity when machines participate in life-altering decisions? Grounded in Kegan's Constructive Developmental Theory, EMPATHIA decomposes integration into three modules: SEED (Socio-cultural Entry and Embedding Decision) for initial placement, RISE (Rapid Integration and Self-sufficiency Engine) for early independence, and THRIVE (Transcultural Harmony and Resilience through Integrated Values and Engagement) for sustained outcomes. SEED employs a selector-validator architecture with three specialized agents - emotional, cultural, and ethical - that deliberate transparently to produce interpretable recommendations. Experiments on the UN Kakuma dataset (15,026 individuals, 7,960 eligible adults 15+ per ILO/UNHCR standards) and implementation on 6,359 working-age refugees (15+) with 150+ socioeconomic variables achieved 87.4% validation convergence and explainable assessments across five host countries. EMPATHIA's weighted integration of cultural, emotional, and ethical factors balances competing value systems while supporting practitioner-AI collaboration. By augmenting rather than replacing human expertise, EMPATHIA provides a generalizable framework for AI-driven allocation tasks where multiple values must be reconciled. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_07671 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration Barhdadi, Mohamed Rayan Tuncel, Mehmet Serpedin, Erchin Kurban, Hasan Artificial Intelligence Computers and Society Human-Computer Interaction Multiagent Systems Applications 68T07, 68T42, 68T50, 91F20, 62P25 I.2.11; I.2.1; H.1.2; J.4; K.4.2 Current AI approaches to refugee integration optimize narrow objectives such as employment and fail to capture the cultural, emotional, and ethical dimensions critical for long-term success. We introduce EMPATHIA (Enriched Multimodal Pathways for Agentic Thinking in Humanitarian Immigrant Assistance), a multi-agent framework addressing the central Creative AI question: how do we preserve human dignity when machines participate in life-altering decisions? Grounded in Kegan's Constructive Developmental Theory, EMPATHIA decomposes integration into three modules: SEED (Socio-cultural Entry and Embedding Decision) for initial placement, RISE (Rapid Integration and Self-sufficiency Engine) for early independence, and THRIVE (Transcultural Harmony and Resilience through Integrated Values and Engagement) for sustained outcomes. SEED employs a selector-validator architecture with three specialized agents - emotional, cultural, and ethical - that deliberate transparently to produce interpretable recommendations. Experiments on the UN Kakuma dataset (15,026 individuals, 7,960 eligible adults 15+ per ILO/UNHCR standards) and implementation on 6,359 working-age refugees (15+) with 150+ socioeconomic variables achieved 87.4% validation convergence and explainable assessments across five host countries. EMPATHIA's weighted integration of cultural, emotional, and ethical factors balances competing value systems while supporting practitioner-AI collaboration. By augmenting rather than replacing human expertise, EMPATHIA provides a generalizable framework for AI-driven allocation tasks where multiple values must be reconciled. |
| title | EMPATHIA: Multi-Faceted Human-AI Collaboration for Refugee Integration |
| topic | Artificial Intelligence Computers and Society Human-Computer Interaction Multiagent Systems Applications 68T07, 68T42, 68T50, 91F20, 62P25 I.2.11; I.2.1; H.1.2; J.4; K.4.2 |
| url | https://arxiv.org/abs/2508.07671 |