Understanding how bias can affect model development is important as AI tools are more broadly adopted. Responsible AI is undoubtedly an important topic. As financial institutions adopt AI and machine learning across their operations, it’s important that these powerful tools…
Transaction monitoring systems that generate excessive false positives lead to unnecessary invasion of privacy. Striking a balance between data protection and anti-money laundering can be a challenge. Like Goldilocks, regulators want financial institutions to get it just right. They shouldn’t…
Large language models (LLMs) like ChatGPT are making it easier than ever for criminals around the world to scale and customize their fraud. To cope with the rise in suspicious transactions that these technologies will create, banks need solutions that…
