Large Language Models (LLMs) are bringing profound transformations across industries, including banking and finance. Artificial intelligence (AI) has been integrated into credit control and risk management since the early 1990s. Today, AI-driven technologies, particularly LLMs, are further accelerating and enhancing these processes. AI-enhanced analytical tools offer the potential to transform traditional financing processes by providing deeper insights into borrower behaviour, predicting financial distress and bankruptcy more accurately, and enabling proactive risk management strategies. It is of interest to discuss both technological advancement of risk management in banking and new theories behind the trends in the international monetary system, including ethical considerations in automated decision-making and the broader implications of AI for financial stability and accessibility.

We are now organising the forth Credit Scoring and Credit Rating Conference (CSCR IV) which will be held on 17-18 Oct 2026 in the city of Hefei, Anhui, China. The conference will be jointly organised by the Hefei University of Technology (HFUT), Southwestern University of Finance and Economics (SWUFE) and the University of Edinburgh (UoE). CSCR IV aims to bring together academics, financial economists, practitioners, and policymakers to debate the changing landscape of banking and risk management. Along with the conference, we would like to proposea special issue or section on the theme of 'New Technology and Economics for Risk and Banking'. The conference and the associated special issues will share new perspectives and development in large language models, agents, credit scoring and credit rating with people from academics and the industry.