Document Type : Original Article
Authors
Department of Public Administration, Faculty of Management, Islamic Azad University, Science and Research Branch, Tehran, Iran.
Abstract
With the expansion of new technologies in governance, artificial intelligence has become a key tool in decision-making and public policy. Although the application of this technology within the country’s policymaking system remains at an early or limited stage, the shift toward intelligent decision-support systems has made it increasingly necessary to identify the human requirements of this transformation. Nevertheless, the human dimensions that shape policymakers’ interactions with intelligent decision-support systems warrant further investigation. This study aims to identify and elucidate the human factors influencing policymakers’ participation in AI-based decision-making processes. This qualitative study employs thematic analysis and collected data through semi-structured interviews with 20 experts in public policy and digital transformation. The findings identified six overarching themes: cognitive competence; psycho-behavioral characteristics and communication capabilities; attitudes toward technology; professional experience; and institutional and contextual conditions. These themes comprised 14 main themes and 39 basic themes, reflecting the diverse and complex dimensions of human factors in intelligent decision-making. The results emphasize that the effective use of intelligent systems requires strengthening human capacities alongside the development of technological infrastructures.
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