Impacto do surgimento da inteligência artificial nos modelos de governança adaptativa
DOI:
https://doi.org/10.23925/2179-3565.2026v17i1p237-243Keywords:
Artificial intelligence, Sustainable innovation, Emergence, Adaptive governance, AI managementAbstract
The rapid expansion of artificial intelligence (AI) as a driver of technological innovation has intensified challenges related to governance, sustainability, and controllability within socio-technical systems. The relevance of this study lies in the growing mismatch between the increasing complexity of AI systems and the traditional regulatory and management frameworks applied to them. The purpose of the article is to substantiate a complexity-based interpretation of AI as a complex adaptive system and to identify management principles that support sustainable and responsible development. The study is based on qualitative literature analysis and philosophical synthesis of interdisciplinary research on artificial intelligence, complexity theory, and governance of socio-technical systems. The methodological framework relies on the concepts of complex adaptive systems, diachronic emergence, and Ashby’s law of requisite variety, which are applied to analyze nonlinearity, self-organization, and adaptability in modern AI technologies. The results show that rigid, rule-based models of regulation and control are insufficient for governing AI systems characterized by emergent behavior and dynamic evolution. Effective governance requires management mechanisms comparable in complexity to the systems being governed while preserving meaningful human oversight and institutional accountability. It frames adaptive governance as essential for aligning technological autonomy with sustainability and long-term societal safety objectives globally
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