Stručni rad
https://doi.org/10.31306/s.68.3.6
AI, decision and healthy work
Mark William Johnson
; University of Manchester, Manchester, UK
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* Dopisni autor.
Sažetak
This paper explores the architectural novelty of artificial intelligence (AI) and its implications for occupational health as both a field of practice and a domain of organisational design. Unlike previous general-purpose technologies such as databases, AI operates through stochastic modelling of normative patterns, generating predictions rather than retrieving stored information. This fundamental difference makes AI simultaneously powerful and limited: it can codify norms but struggles with specificity, nuance, and contextual variation central to occupational health decision-making. Drawing on management science, systems theory, and social theory, the paper contrasts two key organisational questions: how to use AI within existing structures, and how to reorganise occupational health given that AI exists. It argues that the latter question, aligned with Stafford Beer’s systems thinking, is essential for responsible and effective adoption. AI’s greatest potential lies not in automation, but in enhancing organisational perception—of human relations, meaning in research, social and spatial dynamics—functioning as a new kind of scientific instrument that amplifies reflexivity and end-to-end “flow.” The paper concludes that sustainable integration of AI in occupational health demands socio-technical design, responsible innovation frameworks, and a focus on organisational learning to maintain healthy, adaptive workplaces in an era of technological transformation.
Ključne riječi
Hrčak ID:
351751
URI
Datum izdavanja:
4.10.2026.
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