Tag: Algorithms
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When Does Predictive Technology Become Unethical?
Author: Eric Siegel; Publisher: Harvard Business Review; Publication Year: 2020. The following article discusses how through the use of machine learning, we can figure out a lot about a person such as their race and…
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ICE Doubles Down On Controversial Facial Recognition Technology
Algorithms, Artificial Intelligence, Biometric Data, Clearview, Facial Recognition Systems, Immigration and Customs Enforcement, Surveillance, TransparencyAuthor: Eloise Goldsmith; Publisher: Who What Why; Publication Year: 2021. The following article discusses how Clearview artificial intelligence (AI) has a database with up to 10 billion faces and has biometric identifiers as well. U.S.…
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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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Healthcare Researchers Must Be Wary of Misusing AI
Author: Duke-NUS Medical School; Publisher: Science Daily; Publication Year: 2022. The following article advises that strong care needs to be taken not to misuse or overuse machine learning in healthcare research. An international team of…
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Data Brew
Author: Denny Lee, Brooke Wenig, Diana Pfeil; Publisher: Data Brew; Publication Year: N/A. The following video series discusses 3 large topics – transparency, privacy, and bias. First was the idea of transparency in data science…
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What is “Data Ethics”, and Why is it Important
Author: Dennis Hirsch; Publisher: Centre for Information Policy Leadership; Publication Year: 2021. The following article discuses what exactly is data ethics. Dennis Hirsch, a lawyer from Ohio State, asks this question in a study conducted…
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The Impact of AI on Society
Author: N/A; Publisher: Data Ethics 4 All; Publication Year: N/A. The following panel discusses ethical artificial intelligence (AI) practices, and how the data science community needs to balance human values with the values of an…