Last Friday, Caroline Sinders arrived as a guest lecturer, informing MGD students about creating ethical guidelines for machine learning applications.<\/p>
I was interested in her criteria for inspecting unethical sources of data. For two weeks, she dissected a large oil company\u2019s data set, examining factors such as search term popularity (i.e. most, middle, and least popular terms), time factors, big data trends, and unexpected\/expected structural pairings. Her process was especially useful as a starting guideline for analyzing substantial amounts of data \u2013 I can see myself applying related searches for future projects.<\/p>
Furthermore, in her feminist data set, she supplied an inclusive environment for designers (intersectional feminism) and data types. Often, online sources discourage using Wikipedia or personal blog posts as references; however, she openly encouraged these kinds of avenues in her quest for equal data.<\/p>
Caroline was also a resourceful host, offering tips and tricks for MGD students to succeed and find jobs. I appreciated her insights, and look forward to viewing her future works.<\/p>\n","protected":false},"excerpt":{"rendered":"
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