MODEL OF CONTENT-METHODOLOGICAL SUPPORT FOR THE IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE IN SOCIAL WORK IN UKRAINE
DOI:
https://doi.org/10.32782/humanitas/2025.6.16Keywords:
artificial intelligence, social work, social services, implementation model, barriers, hybrid approach, digitalization, service efficiencyAbstract
The aim of the study is to theoretically substantiate and practically develop a model of content-methodological support for implementing artificial intelligence (AI) in social work in Ukraine. In the context of martial law, mass population displacement, and sharply increased demand for social services, the proposed model transforms traditional approaches into hybrid “human–AI” systems. It combines automation of routine administrative tasks, personalization of assistance, risk prediction, and prevention of professional burnout. The study methodology is based on systemic analysis and a combination of qualitative approaches. Analysis of open sources was used to assess the state of the social sector and identify key barriers to AI implementation. On this basis, an integrated four-block model (conceptual, organizational, methodological, and evaluative) was developed, emphasizing ethical principles, a human-machine hybrid approach, and adaptation to Ukrainian realities. The model’s viability and internal logic are confirmed through the analysis of its components’ compliance with international standards and the expected impact on key performance indicators. The scientific novelty of the study is defined by the proposal of a holistic model for the content and methodological support of AI integration in social work, specifically adapted to Ukraine’s wartime conditions. It systematically combines an ethical framework, practical implementation tools (chatbots, Retrieval Augmented Generation algorithms, training modules), and effectiveness evaluation mechanisms aimed at improving the quality and accessibility of social services. The hybrid “human–AI” model proves to be an effective tool for strengthening Ukraine’s social sector by reducing administrative workload, improving service quality and accessibility, supporting human resources, and ensuring ethical responsibility. Future research should focus on pilot implementations, ethical risk analysis, and harmonization with European standards.
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