In recent years, the wealth gulf between white and Black families has only grown. But there is hope that advances in fintech, such as wider adoption of artificial intelligence, can help.

Acting Comptroller of the Currency Michael Hsu Thursday said AI providers and end-users — including banks — should share responsibility for errors that derive from artificial intelligence models.

Most banks are starting their generative AI experiments with closed-source models before progressing to open source. For some, the ultimate goal is to be model-agnostic.

Integrating artificial intelligence into banking operations needs to be done with a clear business purpose in mind, and the articulation of that purpose needs to come straight from the top of the organization.

The San Francisco fintech's newest product seeks to improve lenders' underwriting decisions by identifying gig-work wages, buy now/pay later loans and other income streams gleaned from bank-account data.

The technology is adept at working with partial account numbers and other shreds of data to alert banks of ongoing and potential crime, the network contends.

OpenAI is training a new flagship AI model to replace the one behind the wildly popular ChatGPT. It seems like a good time to ask, if financial users could design their own generative AI model from scratch, what they would want?

Regulators are inherently cautious, but they must not allow concerns about risk to blind them to the enormous opportunities artificial intelligence presents for the financial well-being of Americans.

The bank plans to use artificial intelligence to make recommendations based not just on transaction analysis, but on shopper intent and behavioral data.