Technology

In tests, generative AI models gave different answers to questions about banks, and those answers changed as users added new prompts.

Showing up for clients is still crucial, but using AI to deliver on financial goals matters more, says Altruist's CEO.

The headlong rush to apply AI to all sorts of internal systems runs the risk of damaging consumer trust in the industry. Banks should look to their history and be deliberate about how they integrate AI into their systems.

The nation's largest bank said Monday that it will continue to invest in artificial intelligence, despite fears that the technology may harm lenders, and in private credit, despite concerns of cracks in asset quality.

The platforms, where bets are placed on everything from U.K. soccer teams to the price of bitcoin, are getting traction from investors and attention from regulators.

Hackers used stolen credentials to access the French FICOBA database, exposing names and account numbers but failing to access funds directly.

Social Security numbers, business addresses and other sensitive information were exposed. The company has fixed the error and refunded the victims.

A public-private group led by the Treasury issued the first two of six planned resources to help banks navigate the risks and opportunities of AI.

Banks are deploying extremely powerful AI systems but expecting generalist employees to operate them safely and consistently without redesigning workflows around the technology. That virtually guarantees a bad outcome.

Bank employees are likely adopting the OpenClaw AI assistant on the sly to boost productivity, but the tool's deep integration exposes networks to cyber threats.