The question of diversity within machine learning

Artificial intelligence and machine learning is rapidly being incorporated into our daily lives, but there's an underlying problem that's not being addressed. Diversity in the machine learning field may minimize these types of incidents by ensuring wholly represented data sets are used during the most critical states of AI development. In a recent New York Times article, Kate Crawford [Principle Researcher at Microsoft and Visiting Professor at the MIT Center for Civic Media] stated that unless we are vigilant about how we design/train machine learning systems, we will "see ingrained forms of bias built into the artificial intelligence of the future." I recognized that I have landed in a great spot to influence change in Artificial Intelligence, by bringing my diverse experience to the research I am working on and encouraging my fellow peers to take an interest in the field as well.