Category: Education & Training
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Data Science Jobs are Growing, but Not All Students are Given Ethics Trainings Before Starting Their Careers
Algorithm Misuse, Bureau of Labor Statistics, Communication, Curriculum Development, Data Management, Data Misuse, Problem Solving, TrainingAuthor: Jeffrey C. Oliver, Torbet McNeil; Publisher: Insider; Publication Year: 2021. The following article discusses how the U.S. Bureau of Labor Statistics says job opportunities in data science will grow by 15% by 2029, and…
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The Ethics of Health and Ethnic Identity Through an Asian American Lens
Author: Jasmine Jaing; Publisher: Markkula Center for Applied Ethics; Publication Year: 2022. The following article emphasizes the importance of not grouping Asian communities into one monolith. Especially in the health care field, Asian communities tend…
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Bias in Speech Recognition
Author: Jamie Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how speech recognition algorithms are less effective when it comes to Black people. An algorithm was given a matched subset of identical…
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Using Unethical Data to Build a More Ethical World
Author: Jaime Brandon; Publisher: Springer Link; Publication Year: 2020. The following article discusses how it is commonly known that there are lots of algorithms that are biased in one way or another. In this paper,…
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What Do We Do About the Biases in AI?
Algorithms, Amazon, Artificial Intelligence, Bias Mitigation, Explainability, Fairness, Human Bias, Racial Bias, TransparencyAuthor: James Manyika, Jake Silberg, Brittany Presten Publisher: Harvard Business Review Publication Year: 2019 Summary: The following article discusses how artificial intelligence (AI) can help identify and reduce the impact of human biases. But it…
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A.I. for Good
Author: James Hodson, Jon Krohn; Publisher: Super Data Science; Publication Year: 2021. The following podcast episode is an interview with James Hodson who founded AI for Good. He started the organization to focus on using…
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Ethical AI Development: Evidence from AI Startups
Author: James Bessen, Stephen Michael Impink, Robert Seamans; Publisher: The Center on Regulation and Markets at Brookings; Publication Year: 2022. The following paper discusses an academic approach to researching and quantifying artificial intelligence ethic progress…
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fairmodels: a Flexible Tool for Bias Detection, Visualization, and Mitigation in Binary Classification Models
Author: Jakub Wisniewski, Przemyslaw Biecek; Publisher: The R Journal; Publication Year: 2022. The following article discusses how as more sophisticated machine learning methods become more ubiquitous, a culture of classifying between “explainable” and “unexplainable” models…