The country where an artificial intelligence (AI) model is developed provides limited insight into its actual risk profile, according to analysis highlighting the need for stronger AI governance, transparency and model evaluation frameworks. As organisations increasingly adopt AI systems, assessing Read More …
Tag: AI governance
AI Model Risk Cannot Be Judged Only by Country of Origin
Banks Need Shared Vigilance as Frontier AI Reshapes Banking Resilience
The growing adoption of frontier artificial intelligence (AI) in financial services requires stronger collaboration, governance and collective vigilance among banks, regulators and technology providers, according to industry leaders. The increasing use of advanced AI systems is transforming banking operations while Read More …
AI Model Failure in Banking: 7 Risks Risk Managers Should Understand
Traditional model risk management in banking grew up around relatively stable, well understood statistical models, credit scorecards, VaR calculations, and provisioning models that behaved predictably once validated. Artificial intelligence changes this picture significantly. AI models, particularly machine learning and deep Read More …
The Chief Risk Officer Role in GCC Banking Sector Is Being Reshaped
The role of the Chief Risk Officer (CRO) in the Gulf Cooperation Council (GCC) banking sector is undergoing significant transformation as financial institutions face increasingly complex risks, technological disruption and changing regulatory expectations. Traditionally focused on credit, market and operational Read More …
Aon Launches AI Risk Diagnostic for Enterprises
Aon has launched an AI Risk Diagnostic, an enterprise-level assessment designed to help organisations evaluate and manage risks arising from the growing use of artificial intelligence across business operations. The solution provides organisations with a structured assessment of their AI Read More …
CFOs Struggle to Balance Faster AI Adoption With Risk Management
Chief financial officers are facing growing pressure to deploy AI quickly while ensuring that governance, cost controls and risk management keep pace, according to Deloitte’s Q2 2026 CFO Signals survey. (PR Newswire) The survey found that 93% of CFOs said Read More …
Davies Flags Rising AI Conduct Risks for Insurers
Davies has warned that the growing use of autonomous artificial intelligence agents across underwriting, claims management and customer servicing could significantly increase conduct risk for insurers in the UK and Ireland. The warning forms part of the first report in Read More …
AI Risk Management Starts with a Written Policy
As organisations expand their use of artificial intelligence, risk management experts are highlighting the importance of establishing a formal written AI policy before deploying AI tools across business operations. A documented AI policy provides a foundation for responsible AI adoption Read More …
EU Launches Plan to Address Advanced AI Risks
The European Commission has announced a new plan to address the risks and opportunities associated with advanced artificial intelligence, with a focus on strengthening cybersecurity, improving resilience and ensuring responsible AI development. The initiative aims to support the secure adoption Read More …
Agentic AI in Banking: Who Is Accountable When AI Takes Action?
For the last few years, AI in banking has mostly meant AI that recommends. A model flags a suspicious transaction, scores a credit application, or suggests the next best product, and a human banker still presses the button. That line Read More …