Projektowanie behawioralne polityk publicznych: perspektywy zastosowania generatywnej AI
Behavioural Design of Public Policies: Prospects of Generative AI Application

Summary/Abstract: The aim of this article is to examine the extent to which generative artificial intelligence (GenAI) can support public policy designers in developing preliminary concepts for behavioural interventions. The authors conducted an experiment in which four proposals to reduce food waste were developed with varying degrees of GenAI involvement and subsequently evaluated by 15 public policy practitioners. The results show that GenAI can effectively assist designers in generating logically coherent and persuasive public policy proposals. Productive collaboration requires two key conditions: grounding the design process in a consistent conceptual framework (Theory of Change) and carefully planning how to integrate different GenAI tools with human workflow (the TRIP method). The article also highlights the need for further research on GenAI applications throughout the full design cycle, including empirical research with target groups and stakeholder consultations. It points to ethical challenges related to authorship and accountability for AI-generated content. The paper contributes to the growing interdisciplinary reflection on the use of breakthrough technologies, in particular GenAI, in public policy formulation.

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