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.
We're proud to be included on Course Report's 21 Best Data Science Bootcamps of 2020 list! To create the list, their team considered both online and in-person bootcamps that teach immersive data science and/or data analytics, looking at alumni reviews, curriculum, and quality of instruction to determine who made the cut.
Year after year, we enjoy sharing posts that feature our alumni stories, data science and analytics thought leadership from our Data Scientists, guest posts, and so much more. Here we’ve gathered the top 10 most-read posts of 2020 for you to enjoy.
During a recent webinar with Course Report, Metis Sr. Data Scientist Kimberly Fessel discusses how Python is used for data science, how much Python you should know before starting a data science bootcamp, and more. Watch it here.