Explainable AI could reduce the impact of biased algorithms

CS Assistant Prof. Joseph Gonzalez is quoted in an article for VentureBeat titled “Explainable AI could reduce the impact of biased algorithms.”   The article discusses the ways human bias could potentially be introduced into machine learning-enabled systems and how General Data Protection Regulation (GDPR) might help. Collecting data from the past is a common starting point for data science projects — but historical “data is often biased in ways that we don’t want to transfer to the future,” said Gonzalez.  “It is an incredibly hard problem…but by getting very smart people thinking about this problem and trying to codify a better approach or at least state what the approach is, I think that will help make progress.”