Math-based machine learning tools hold substantial promise in advancing the fairness of consumer lending and developing benchmarks for the entire industry.

Financial institutions said they needed more time to weigh in on issues such as how they use artificial intelligence for fraud prevention and underwriting.

ISO 20022 prioritizes speed and security, creating a runway for major new innovations like machine learning, says NICE Actimize's John Buzzard.

Both vendors use remote hosting and web delivery to support e-commerce, APIs and other technologies that go beyond their traditional focus on the ATM and point of sale.

The digital-only bank has adopted machine learning to process loans faster, more accurately and with better fraud detection than in the past.

With greater connectivity and more information being shared about customers and transactions, there will be more potential to generate valuable business intelligence, says Citizens' Matt Richardson.

The technology is simulating the work of teams of analysts and traders to pick stocks and rebalance asset allocations in the bank's newest investment index.

Ken Meyer, who will speak at American Banker's Digital Banking AI & Automation conference next week, says banks should be able to quickly catch up with big technology companies and financial services upstarts in the adoption of artificial intelligence without alienating customers or running afoul of regulators.

A European Union plan would require rigorous data-quality checks and testing of applications of artificial intelligence that it says violate consumers' privacy and other rights.

“You all will not let me breathe” is just one example in the CFPB’s complaint database where a consumer likened alleged mistreatment by a financial institution to social injustice. An artificial intelligence firm uses technology to help companies flag such language.