Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...

The financial sector is anticipated to experience a notable surge in fraudulent activities, leading to projected losses exceeding $40 billion by 2027. This increase marks a significant uptick from ...

Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

How two Chinese women turned their Ph.D. theses into machine learning that makes connections between seemingly unrelated events to discover emerging fraud schemes. Back in 2006, after earning her Ph.D ...

The current financial scene is changing in a big way, and it's not because of changes in the economy or the market. It's because of the rapid growth of artificial intelligence (AI) and machine ...

Fraud detection requires leveraging new tools and models to keep ahead of increasingly sophisticated fraud. Financial institutions use AI to detect and prevent billions of dollars of fraud each year ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. As machine learning continues to reshape the financial ...

AI is a particularly powerful tool in the hands of fraudsters. Fraud powered by generative AI is only limited by the criminal's imagination. When it comes to preventing financial fraud, many experts ...