AI bias: Why fair artificial intelligence is so hard to make

AI developers with the best intentions may face inherent trade-offs, where maximizing one type of fairness necessarily means sacrificing another. Julia Stoyanovich, associate professor and director of the NYU Center for Responsible AI, offered her input, advocating for access to education about AI so people can take part in making these decisions democratically.

“We don’t need more algorithms—we need more robust public participation," said Stoyanovich, adding that "It should not be any one group, nor should it just be some diverse group of professionals. ... Public participation and meaningful public input is crucial here.”