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R2_ Data Science Ethics
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R2_ Data Science Ethics
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R2: Data Science EthicsWhat do the authors of Data Science & Ethics mean when they use the term
"Data's Day of Reckoning?" - correct answer-Like physicists have had to come
to terms with their role in the atomic bomb dropping, data scientists will have
to, now and in the future, consider their role in any negative impacts that their
work have on society.
What do the authors state is a limitation to current implementations of ethics
training? - correct answer-Students aren't taught how to implement ethical
principles
Using the text and the figure with pluses, dots, and question marks in "Big
Data, Machine Learning, and the Social Sciences," which conclusion can
reasonably be drawn about the question marks on the figure? - correct
answer-The question marks highlight the importance for representing
uncertainty.
Which of the following is NOT a take-home message from "Big Data, Machine
Learning, and the Social Sciences"?
Careful error analysis improves your understanding of models you generate.
Data science teams should include one social scientist.
Data scientists should be question-driven, rather than data-driven or
method-first.
The granularity of social data is why people now care and worry about big
data. - correct answer-Careful error analysis improves your understanding of
models you generate.
Data science teams should include one social scientist.
From DDOR :Security and ethics should be - correct answer-incorporated into
CS core curriculum, they should not be taught separately.need to be a part of
DS culture
checklists are essential so........ - correct answer-people don't make careless
mistakes and priotitize ethics and security
So why, then, does granular, social data make people un- comfortable? -
correct answer-data of this sort brings up issues regarding ethics, privacy,
bias, fairness, and inclusion
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