Agentic AI refers to systems that operate with a degree of autonomy—capable of perceiving, deciding and acting in pursuit of ...

Despite the growing volume of literature, the authors argue that current research efforts fall short in one crucial respect: the absence of a comprehensive, quantitative risk management framework for ...

Re-weighting, adversarial debiasing, and fairness constraints can be incorporated into AI models to identify and eliminate ...

Looking ahead, AI will unlock significant potential in project and programme management, offering opportunities to further ...

Transform the inherent risks of human operations into an adaptive defense layer.

Unlock AI's real value in banking: streamline compliance, reduce risk, outpace rivals. Download the executive guide.

Beyond achieving technical excellence, the study underscores the practical utility of explainable AI in flood risk management ...

As organizations continue to embrace artificial intelligence (AI) to drive innovation, transform operations, and streamline ...

By analyzing vast streams of live market signals alongside transaction patterns and behavioral data, BTXBanc’s AI engine ...

Dual-use infrastructure, artificial intelligence (AI)-powered risk analysis, and community empowerment are the key components needed to drive disaster resilience in an era of mounting climate ...

Looking ahead, Tomoko acknowledged that the rapid deployment of AI also introduces new types of risk. “One of the biggest ...