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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.
From today through October 9th, when you enroll in any of our remaining 2020 Bootcamp Prep Courses, you'll save 33% on tuition. We hope this reduced tuition provides opportunities for those interested in building data science skills in a live online format, taught by industry leaders.
When our Data Scientists aren't teaching the intensive 12-week bootcamps or corporate training courses, they're working on a variety of other projects. This monthly blog series tracks and discusses some of their recent activities and accomplishments.