Listen: How banks can de-bias models to stay ahead of potential AI regulations

The most common mistake that companies make with the data when de-biasing artificial intelligence models is to remove obvious indicators such as race, gender and age, and then assume they’ve eliminated bias, David Van Bruwaene tells Bank Automation News in this episode of “The Buzz” podcast. Van Bruwaene is the founder and CEO of Canada-based […]