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.

Royal Bank of Canada, in partnership with TIFIN AG, is testing a pilot to provide its wealth management advisors with AI tools to see what the technology can do.

It is increasingly clear that joining a risk consortium is the best defense banks have against fraudsters who are increasingly powered by artificial intelligence.

Community banks are in the early days of experimenting with AI and the earlier days of writing policies to govern its usage. It's key to do both at once.

The card network is working with Salesforce to use large language models to be more proactive in how it resolves these interactions.

The work of the TD Invent group and Layer 6 AI, a startup TD bought in 2018, show how innovation teams at large banks can cut through the bureaucracy and fiefdoms that exist in every big company to deploy and scale new technology.

CEO Kevin Cohee is convinced WiseOne, the AI companion OneUnited Bank rolled out late last year, can help customers make better financial decisions. Cohee also wants to see his passion for personal fiscal improvement play to a wider audience, through development of a nationwide financial literacy curriculum.

Max Levchin, CEO of the buy now/pay later lender, said recent tests show young adults prefer interacting with intelligent chatbots over phone-based agents, but the company doesn't foresee major cost savings from generative AI for a few more years.

Banks are turning to the same hyperscalers for cloud computing and generative AI. Some wonder what the consequences will be down the road.

There is fundamental work involved in laying a modern data foundation and adopting a flexible, data-driven, cloud-based IT architecture suitable for AI implementation. Most banks aren't there yet.

By training a core payment card fraud-detection platform on more than 15 billion transactions, the card network is honing the accuracy of warnings sent to issuers about suspicious purchases.