This is another in a long stream of reports on mitigating challenges of bias and ethics in big data and Artificial Intelligence.
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. IBM announces cloud service to help businesses detect and mitigate AI bias. It has also launched an open source bias-mitigating toolkit called AI Fairness 360 to help such businesses.
Read about IBM’s cloud service and AI Fairness 360 toolkit on Venture Beat.