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 ...

Fraud detection is defined by a structural imbalance that has long challenged data-driven systems. Fraudulent transactions typically account for a fraction of a percent of total transaction volume, ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Proactive monitoring tools, such as a third-party hotline platform and data analytics, coupled with employee engagement and a ...

Retailers lose $76.5 billion annually to return fraud as nearly 10% of U.S. retail returns involve fraudulent activity, with ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Oscilar today announced that Payoneer (NASDAQ: PAYO), the global financial technology company powering business growth across borders, has selected it to help modernize the company's fraud and risk ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Others leverage AI to monitor customer journeys, identify pain points, and provide seamless virtual assistance. These ...

AI brings new opportunities and risks to the financial system. Artificial intelligence software, algorithms and tools are continuously being used to improve risk management, investment management, ...

Love it or hate it, AI has become embedded in everyday working life. The seventh annual SAP Concur Global Business Travel ...

AGI refers to the idea of AI that can think or learn as broadly as a human. ASI takes that idea further, imagining systems ...