NextBillion - An Initiative of the William Davidson Institute at the University of Michigan

The growth of artificial intelligence (AI) has attracted its fair share of criticism in recent years just as it has become central to the conversation about how to scale up and improve ESG performance across corporate America.

To be fair, such concerns about AI are warranted. After all, humans are still designing these systems, so bias is still a risk at many levels, whether it comes to face recognition technology or how companies vet potential hires. Some brands, in fact, have pledged to work together to prevent algorithmic bias from entering the workplace. Google is an example of a company that says it is striving to teach developers about fairness considerations when building, evaluating and deploying AI and machine learning models.

Photo courtesy of geralt.