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Data Science Ethical Considerations: A Systematic Literature Review and Proposed Project Framework
Author: Jeffrey S. Saltz, Neil Dewar; Publisher: Springer Link; Publication Year: 2019. The following article discusses how data science, and the related field of big data, is an emerging discipline involving the analysis of data to solve problems and develop insights. This rapidly growing domain promises many benefits to both consumers and businesses. However, the…
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7 Revealing Ways AIs Fail
lnbressa
Author: Charles Q. Choi.; Publisher: IEEE Spectrum; Publication Year: 2021. The following article details 7 common flaws in AI models and many real-world examples of these failures. It touches particularly on neural network models, but many topics are applicable broadly, particularly in classification scenarios. For example, it details model brittleness; how models can quickly be…
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What Gets Counted Counts
lnbressa
Author: Catherine D’Ignazio and Lauren Klein; Publisher: MIT Press; Publication Year: 2020. The following book chapter considers how within data science, practitioners are used to seeing the world in 1s and 0s – in fact, models try to predict which observations will be 1s, and which will be 0s. But this article emphasizes the notion…
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