AI adoption, risk & resilience: How are risk managers approaching the opportunities and challenges?
The adoption of artificial intelligence in banking is exciting. The opportunities are endless and the rewards are promising, but the reality of it can often be underwhelming. We spoke to leading risk leaders, including CROs around the world, to uncover the risks and challenges they face in adopting AI, and to share which areas of risk management are getting the AI treatment.
Volatility in risk regulation with CRO Bo Boisen
Bo Boisen, Chief Risk Officer, Nordea Denmark, outlines the impact of recent elections, technological innovations like AI, and the dual regulatory approach proposed by the Bank of England. The conversation covers essential skills for risk professionals amid evolving regulations and highlights the crucial role of AI and machine learning in future risk management and compliance.
The future of AI models in risk with Ratul Ahmed, Commerzbank
Ratul Ahmed, Group Head of Model Validation, Commerzbank, discusses the biggest risks of adopting AI technology, and its impact on model risk, data quality, fairness, and regulatory compliance. Ratul shares methodologies for assessing AI models, emphasizes the importance of AI literacy, and explores how technology has transformed risk management practices over the years.