Attitudes of Social Workers Toward AI-Supported Case Analysis: Opportunities, Risks and Ethical Dimensions

Abstract

The digital transformation is increasingly reaching social work. In addition to classic digital tools, artificial intelligence (AI) systems are increasingly appearing to support decision-making processes in case analysis. This international cross-sectional study examines the attitudes of social workers towards AI-supported case analysis. Based on a sample of 121 professionals from five countries, attitudes towards opportunities, efficiency potential, ethical concerns, professional autonomy, data protection and willingness to implement were assessed using a standardized questionnaire with six subscales. The results show an ambivalent picture: While technical opportunities are moderately recognized (M = 3.19) and efficiency gains appear visible (M = 3.36), ethical concerns (M = 3.82) and concerns about the restriction of professional autonomy (M = 4.08) predominate. The willingness to implement remained comparatively low (M = 2.83). Group comparisons reveal significant differences in terms of age, professional experience, and field of work. Younger and less experienced professionals showed more openness, while older and very experienced professionals reacted more skeptically. Regression analyses confirm an affinity for technology as a positive predictor, while ethical concerns and fears of autonomy reduce the willingness to implement. Overall, the study makes it clear that social workers neither reject AI across the board nor welcome it unreservedly, but reflect on it in a differentiated and normative way. For implementation strategies, it is necessary to ensure ethical standards, transparency and participatory implementation processes in addition to technical advantages.

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