AI

The Data on Diversity: It's not just about being fair

Abstract

Teams and organizations whose members are heterogeneous in meaningful ways have a higher potential for innovation than teams whose members are homogeneous. However, making such teams effective requires addressing a number of barriers. Social science experiments using quantitative methods show bias, stereotype threat, and methods to combat them. The effectiveness of diverse teams depends on trusting and supportive cultures. Data publication is one of the most important tools to identify and combat identity threat and biased decision making. Despite the challenges, there is hope! There are tools that have been shown to combat bias and identity threat effectively.