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This research develops a taxonomy of operational risks impacting corporate sustainability. A literature review and analysis of 100 business cases reveal relationships between these risks, their causes, and their economic, social, and environmental consequences. The findings help companies classify and manage sustainability-related operational risks, though the specific relationships may vary across sectors and individual cases.
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Generative AI (GAI) is transforming banking risk management, improving fraud detection by 37%, credit risk accuracy by 28%, and regulatory compliance efficiency by 42%. GAI enhances stress testing but faces challenges in privacy, explainability, and skills gaps. Its adoption, led by larger banks, demands holistic strategies for equitable industry impact.
AI adoption in finance introduces risks like model inaccuracies, data security issues, and cyber threats. FINMA notes many institutions are at early development stages for AI governance. It urges better risk management to protect business models and enhance the financial center's reputation.
The ECB has decided to keep capital requirements largely unchanged for 2025 due to the strong performance of banks. However, specific banks will face additional capital requirements due to insufficient provisioning for non-performing loans and high exposures to leveraged loans. The ECB emphasized the need for banks to address governance, risk management, and operational resilience, particularly in light of macroeconomic threats and digital transformation challenges.