1. You should have already watched the film, Coded Bias accessible online via Course Reserves at the Newman Library.
2. Watch the TEDTalk:
a. ONeil, Cathy. The Era of Blind Faith in Big Data Must End. TED, Aug 22, 2017, https://www.ted.com/talks/cathy_o_neil_the_era_of_blind_faith_in_big_data_must_end?language=en.
3. Answer the following questions based on the requirements of the threaded discussion rubric, especially in citing information found in the TEDTalk and Coded Bias [film]:
It is no surprise that there are many computer programs employed to help people make sense of large amounts of data, so-called Big Data. This is especially true for computer systems used to review resumes, predict crime, prevent disease, etc.
ONeil stated, Algorithms are opinions embedded in code. Algorithms may be biased depending on what data is considered and what may be defined as the measure of success.
b. New York City has decided that it needs to increase the number of residents of color who are vaccinated against Covid-19 in its five boroughs. If NYC decided to attempt to reach residents of color (Black, Latinx, or Asian) to be vaccinated (without regard for current eligibility standards such as health predispositions like diabetes, cancer, immune-compromised, etc.), what data would need to be considered to create an algorithm to vaccinate the greatest number of residents of color?
Please be sure to engage in civil discourse at all times here, which means no use of slang or modicum, profanity, or name-calling.
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