Artificial intelligence presents new and unique challenges to ethics and morality. U.S. Bank discusses why a deliberate ethical framework must serve as the bedrock for any company's AI efforts

The best intentioned efforts to bridge racial or gender gaps, or to create a more inclusive market for a financial project, will likely fail unless there’s careful attention paid to a lack of diversity at the onset.

Microsoft has boosted its role in the digital payments migration through a series of ventures, using its cloud computing platform to support merchant upgrades and real-time processing.

As the age of clocking in and out of the office gives way to the gig economy and remote employment opportunities, workers have new expectations around the way they will be paid.

Some financial institutions are using emotion AI, which picks up subtle signals over text, audio and video, to help their customer service agents do their jobs better.

Banks are using emotion AI, which picks up subtle signals over text, audio and video, to help their customer service agents do their jobs better.

While they are not dramatically opposed, Jelena McWilliams and Brian Brooks have articulated their own ideas on postal banking and the use of artificial intelligence in lending.

VCs and lenders rely on business data such as transaction records to inform funding decisions for fintechs or small businesses, but bias and uneven representation in management still result in gender and racial disparity.

Upstart, which specializes in the use of alternative data and AI in credit decisions, will make car loans directly and sell its technology to banks and other lenders.

The agency’s advance notice of proposed rulemaking, which would require banks to evolve with technology, shows foresight that policymakers too often lack.