Banks that need to fill large volumes of jobs increasingly let AI decide who’s in and who’s out, based on analysis of digital resumes and video interviews. Algorithms can take a more inclusive and less biased view of candidates, but experts say there are several things to watch out for.

The path to artificial intelligence implementation can be costly and arduous. Are financial leaders reaping the benefits?

Just as advances in automobile technology have made driving safer, incorporating AI into decision-making reduces financial risks.

By taking the manual labor out of data management and upkeep, experts can reach new clients and better serve their existing ones.

Agencies supervising lenders should make it clear that the transition to less discriminatory algorithms won’t be used to punish banks for their previous use of older, less effective systems.

Banks and fintechs wonder if regulators are getting more comfortable with machine learning-based ways of assessing credit, or if agency oversight will mean a crackdown. 

The agency recently updated a policy document to include technological innovation as a top priority and said it was considering creating a safe harbor for those who develop new products to fight financial crimes.

Launch Credit Union claims it reduced fraud by 97% after adopting a real-time solution in 2020.

To appeal to a younger audience, credit unions are teaming up with third parties that can help them offer Bitcoin accounts, real-time payments and other cutting-edge services.

The Consumer Financial Protection Bureau is examining whether artificial intelligence discriminates against minorities and other applicants. But GreenState Credit Union in Iowa says the technology can be harnessed to make lending fairer in underserved communities.