Bias is a serious problem in artificial intelligence (AI). Research shows that popular smart speakers are 30 percent less likely to understand non-native U.S. accents, for example, and that facial recognition systems such as those from Cognitec perform demonstrably worse on African American faces. In fact, according to a recent study commissioned by IBM, two-thirds of businesses are wary of adopting AI because of potential liability concerns. In an effort to help enterprises address this problem, IBM today announced the launch of a cloud-based, fully automated service that "continually provides [insights]" into how AI systems are making their decisions. It also scans for signs of prejudice and recommends adjustments -- such as algorithmic tweaks or counterbalancing data -- that might lessen their impact.