Artificial Intelligence in Financial Services
The paper draws on roundtables with over 100 financial services executives worldwide.
Product · 4 documents
The paper draws on roundtables with over 100 financial services executives worldwide.
Banks use complex machine learning models such as neural networks, random forests and gradient boosting for credit scoring, loan approval, fraud detection, risk assessment and anti-money laundering, and many operate as black boxes.
Four open-weight models each ran five harnesses on 156 pre-registered cases in a simulated retail bank whose 11 rule families paraphrase EU banking provisions.
The National Bank of Ukraine publishes a discussion paper on the ethical and responsible use of AI by financial services market participants.