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How Biased AI Holds Data Science Back (+ Ways to Fix It) by Sr. Data Scientist Sophie Searcy
By Emily Wilson • March 06, 2018
This week, Metis Sr. Data Scientist Sophie Searcy's article, How Biased AI is Holding Us Back, and Two Things We Can Do About It, was published in InformationWeek. In it, she notes that many working in tech think that "because our products and services are based on 0’s and 1’s, everything we put out into the world is fair and logical." Not true, she writes, urging everyone to "take a closer look at the biases that inhabit so much of our work, as well as some of the ways we can work toward a culture of inclusive AI."
She expounds upon ideas of increasing access for diverse groups of young people, career-changers, and professionals interested in the field, as well as ensuring the diversification of senior leadership. We invite you to read (and enjoy) the entire article for much more insight and information on the ever-important topic.
Learn about the Metis commitment to promote and pursue diversity in data science here.
This post features two final projects from recent graduates of our data science bootcamp. Take a look at what's possible to create in just 12 weeks, including a meal recommendation app based on the produce you have at home + a recommendation engine to help you choose your next favorite beer.
This blog series tracks and discusses the recent activities and accomplishments of our talented Sr. Data Scientists. This month, read advice from the team on how to manage your own data team's curiosity, how to democratize data for all, how to create function factories in Python, and more.
Our brand new Advancing Women in Data Science Scholarship is for women, trans, and non-binary aspiring data scientists who wish to attend our Data Science Bootcamp in either Seattle or Chicago. There are two full-tuition scholarships available in each city for the Fall 2019 bootcamp - apply by July 29th!