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This study aims to synthesize the fragmented literature on the role of artificial intelligence in sustainable development.

Artificial intelligence and sustainable development: mapping the knowledge structure

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Secondary research maps the intellectual structure of AI in sustainable development, highlighting key themes and implications.

This study aims to synthesize the fragmented literature on the role of artificial intelligence in sustainable development.
Secondary research using bibliometric techniques analyzing 3,175 journal articles from Scopus (1991-2025).
Co-citation analysis for literature from 1991-2022 to identify foundational knowledge.
Co-word analysis for literature from 2023-2025 to capture emerging themes.
Four major thematic clusters identified: predictive intelligence for sustainability, AI-driven decision systems, smart cities, and governance and ethics of AI.
Emerging themes emphasize technological innovation, environmental sustainability, analytical methodologies, and development economics.
Literature shows a shift from a technology-centric to a socio-technical perspective of AI in sustainability.

Khanna et al. (2026) studied this question.

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