Building capabilities for responsible AI in finance: insights from Fuzzy ISM

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Excited to share our latest research publication titled: “Building Capabilities for Responsible AI in Finance: Insights from Fuzzy ISM” published in the Journal of Ambient Intelligence and Humanized Computing, listed as Q1 (2024) in the Computer Science category! This study explores how banks and regulated financial institutions can systematically develop capabilities for responsible AI adoption by integrating governance, ethics, workforce readiness, technology partnerships, and legacy system alignment. Using Fuzzy Interpretive Structural Modelling (FISM) and Dynamic Capabilities Theory (DCT), the research provides a structured framework for understanding the interconnected drivers of responsible AI management in finance. The findings offer important perspectives for researchers, financial managers, policymakers, and technology leaders seeking to balance AI innovation with ethical accountability, regulatory compliance, and long-term organizational resilience. Grateful to all co-authors, experts, and participants whose insights contributed to this work. Looking forward to meaningful discussions on the future of responsible AI in financial services.

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