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Algorithmic Accountability
lnbressa
Author: Hetan Shah; Publisher: National Library of Medicine; Publication Year: 2017. The following article reviews ways in which researchers can improve trustworthiness. The authors argue that transparency alone cannot lead to accountability. Additionally, legislation for equitable machine learning algorithms may be useless because of the rise of social media networks collecting data. Certain countries are…
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A Guide for Ethical Data Science
lnbressa
Author: Institute and Faculty of Actuaries; Publisher: Royal Statistical Society; Publication Year: 2019. The following article is a very well designed code of ethics that revolves around its defined 5 major themes of data ethics: 1). Seek to enhance the value of data science for society; 2). Avoid harm; 3). Apply and maintain professional competence;…
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