Artificial intelligence and machine learning have improved convenience and eliminated manual tasks in businesses worldwide. However, the data sets on which these systems are trained threaten to maintain—and even amplify—patterns of gender bias seen throughout history. Failure to remove or address gender bias in AI immediately presents the potential for a dramatically imbalanced future. Furthermore, … Continue reading Addressing the Risks of Gender Bias in AI and Machine Translation