How to Fix Bias in Big Data and Artificial Intelligence

Big data analytics and machine learning are on the rise and set for massive further growth over the coming years. The results of a survey conducted jointly by MIT Technology Review and Google Cloud showed that 60 percent of respondents have already implemented a machine learning strategy in their organization. Furthermore, Deloitte predicts that spending on machine learning (ML) and AI will nearly quadruple from $12 billion in 2017 to $57.6 billion in 2021. Amidst this growing popularity, a growing concern is that algorithms are only as good as the data that's fed into them. The old adage "garbage in, garbage out" applies to AI and ML as much as it does to any other computing-based system.