The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.

Financial institutions use AI to detect and prevent billions of dollars of fraud each year in areas including account takeover, check fraud, identity theft, money laundering, and terrorist financing, ...

As researchers unveil a groundbreaking machine ... learning models, deep learning architectures, and reinforcement learning methodologies. Particular emphasis is placed on techniques directly ...

Lim told BI that these technologies make a compelling argument for AI as a method of fraud detection, but they also have limitations. He said that machine learning models could inadvertently learn ...

In an era defined by digital acceleration and mounting cybersecurity threats, Srinath Reddy Palla brings a pioneering perspective to the financial services sector. A noted thought leader, his work ...

From AI classification to AI generation Banks have long used traditional AI and machine learning techniques ... The second is analytical models, such as those used for fraud detection.