
In today’s rapidly evolving banking landscape, the utilization of artificial intelligence (AI) systems and models has become increasingly prevalent. These systems provide immense value by enhancing decision-making processes, improving operational efficiency, and identifying potential risks. However, as AI systems continuously learn and adapt, the challenge lies in maintaining transparency and regulatory compliance, as thresholds and variables constantly evolve. Debate between










