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The Agency of Artificial Intelligence in microsocial decision making in the Ministry of Works and Transport: An analysis of the User-AI interaction in U-Turn System
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Date
2024
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European Society for Socially Embedded Technologies (EUSSET)
Abstract
As developing nations seek to increase the use of technology in their governance, the integration of artificial intelligence (AI) in public sector organizations is gaining momentum. While existing research has predominantly explored AI's macro implications, this study investigates its microsocial effects on daily professional practices within public organizations. Focusing on the case of Trinidad and Tobago's Licensing Authority and its implementation of the U-Turn system, this research employs an organizational ethnography approach. By analyzing interviews, observations, and documents, the study aims to understand how employees interact with AI-based technology at the microsocial level. Initial findings highlight the significance of the law in shaping technological usage, with AI often serving as a manifestation of legal mandates. Furthermore, the introduction of AI prompts organizational transformations, necessitating new administrative practices to bridge technological gaps. Ultimately, this study contributes to a deeper understanding of the nuanced interactions between employees and AI systems in public sector decision-making processes, shedding light on the evolving dynamics of organizational practices and knowledge construction.