Artificial Intelligence, Banking, and Financial Risk Management

Dear Colleagues,

The growing presence of Artificial Intelligence (AI) in banking and finance is transforming the way we think about decisions, from assessing credit and managing portfolios to promoting transparency and meeting regulatory standards. AI is reshaping models and mindsets, thereby creating new possibilities in the finance sector. However, it also raises important questions about trust, fairness, and accountability.

This Topic invites the submission of contributions that reflect on both the opportunities and challenges of using AI in financial decision-making. We particularly welcome studies on algorithmic risk management, explainable and responsible AI, fairness and bias mitigation, AI-based compliance and supervision, and systemic risk modeling. Research that connects AI to broader goals such as sustainable finance, financial inclusion, and ethical governance is also highly encouraged.

By bringing together perspectives from finance, economics, data science, regulation, and professional practice, this Topic seeks to inspire a deeper and more responsible understanding of how AI can shape the future of financial systems, helping them to become not only smarter, but also fairer, more transparent, and more human-centered.

Prof. Dr. Herbert Kimura
Prof. Dr. Leonardo Fernando Cruz Basso
Topic Editors