Amazon Research Award supports developing algorithms that tackle unfairness in recommendation engines
April 22, 2019
[caption id="attachment_3984" align="alignleft" width="300"]
Bert Huang, DAC faculty member and assistant professor of computer science[/caption] Why would a recommendation engine not suggest computer science classes to a female college student interested in that field of study? According to
Bert Huang, assistant professor of computer science in the
College of Engineeringand a faculty member at the
Discovery Analytics Center, there are a few reasons. The engine may have trained from data representing the existing gender imbalance in computer science, unfair patterns may have inadvertently emerged from the mathematical nature of its learning algorithm and model, or there may be a less-visible or harder-to-detect process in place. Click
hereto read more about Bert's work.