Category: 2017
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Big Data, Ethics and Children
Author: Gabrielle Berman; Publisher: United Nations Children’s Fund (UNICEF); Publication Year: 2017. In the following article, the author begins with the statistic that an estimated 1 out of 3 internet users are children. Children now…
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Big Data, Ethics and Religion: New Questions from a New Science
Author: Michael Fuller; Publisher: ProQuest; Publication Year: 2017. The following article addresses how the hopes, fears, and ethical concerns relating to technology are as old as technology itself. When considering the increase in the power…
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Ethics, Data and Insurance: 4 Developments Worth Watching
Author: Duncan Minty; Publisher: Scandinavian Insurance Quarterly (SIQ); Publication Year: 2017. The following article discusses how the insurance industry has long been using historical data to underwrite, price, and manage risks. The advanced algorithms that…
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Data Ethics Principles
Accountability, Algorithms, Data Control, Data Processing, Equality, Personal Information, TransparencyAuthor: N/A; Publisher: Dataethics; Publication Year: 2017. The following article outlines 5 data ethics principles that should be carried out when conducting any sort of data processing activity. To start, data ethics is centered around…
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The Ethics of Police Using Technology to Predict Future Crimes
Author: Daniel Munro; Publisher: Maclean’s; Publication Year: 2017. The following article discusses how police agencies are using data collection techniques to perform “predictive” policing to determine where crimes are more likely to happen in the…
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Conscientious Classification: A Data Scientist’s Guide to Discrimination-Aware Classification
Author: d’Alessandro B, O’Neil C, LaGatta T.; Publisher: National Library of Medicine; Publication Year: 2017. The following article describes discrimination in the context of machine learning. The authors discuss how models can be biased even…
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The Era of Blind Faith in Big Data Must End
Algorithmic Audit, Algorithmic Models, Algorithms, Big Data, Blind Trust, Data Collection, Unconscious BiasAuthor: Cathy O’Neil; Publisher: TED Talks; Publication Year: 2017. The following video highlights the dangers of blind trust in algorithmic models. O’Neil suggests that algorithms are much less scientific and objectively truthful than commonly perceived.…