Investment

A recent survey showed a majority of banks use generative AI, mainly for tasks like writing emails and detecting fraud, but few say they have built customer-facing products with it.

In a simulation exercise hosted by the Global Resilience Federation on Tuesday, banks and credit unions tested their ability to withstand an industrywide wiperware attack.

Banks are proceeding with caution as a new generation of AI tools arises.

Lack of understanding remains a key hurdle for adopting traditional and generative artificial intelligence-powered tools, but banks and credit unions are still eager to use AI, according to data from Arizent.

Investing in Main Street Act has passed the House three times with overwhelming majorities but has failed to gain traction in the Senate. Backers, including banks that invest in the funds, hope to flip the script with a third version.

False information, job losses, diminishing skills and human interaction, among other concerns, have bankers worried about deploying both generative artificial intelligence, like ChatGPT, and more long-accepted forms of AI like machine learning, according to a new survey of American Banker readers.

As the use of internet of things (IoT) devices and artificial intelligence grow in popularity, their adoption is creating real risks for end users and insurers alike. As bad actors use it to perpetrate new kinds of fraud, carriers can also utilize it to identify these risks and fraudulent claims more quickly.

Proposed legislation to force Bytedance to sell its U.S. operations of TikTok raises national security concerns and potential retaliation from Beijing.

Like many of its peers, the bank is evolving its virtual assistant to be more personalized and to incorporate a large language model, but it's not quite ready to turn on customer-facing generative AI.

The attack is one of three major incidents the lender has suffered in the past three years.