Gender is an innate part of human existence. However, gender is not innate to our creations. When we design something inanimate to imitate gender, it impacts our society as a whole, especially when we gender our artificial intelligence. We have a tendency to gender "assistant" AIs female and independent AIs male, such as Siri vs Watson, translate non-gendered languages to have gender, and allow our conversational AI to adopt gendered biases. To complicate matters, open-source data used to train AI machine learning algorithms are often biased. How can we use gender progressively while also meeting user needs, and how can we improve our algorithms with the data available?
