book chapter
This chapter presents a systematic review of the nexus between AI-driven governance and integrative intelligence in resilient finance. Based on 576 peer-reviewed articles (2015–2025), the study combines bibliometric mapping with thematic analysis using IRaMuTeQ. The Reinert classification reveals three lexical clusters: (1) technical AI methods and predictive modeling, (2) sustainable finance, ESG integration, and governance, and (3) blockchain infrastructure and risk-resilient finance. Correspondence analysis highlights a tension between methodological discourse and applied governance, while data emerges as the substrate of integrative intelligence. The review identifies gaps such as the under-theorization of resilience, fragmentation between technical AI research and governance frameworks, and the absence of unified paradigms. Recommendations are advanced for building integrative, ethical, and resilient approaches to AI-enabled financial governance.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.4018/979-8-3373-7215-0.ch012
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