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My Data and Design Ethics Manifesto
2018, Bias, Blog Article, Code of Ethics, Diversity, Equity & Inclusion, Frameworks, Legal & Policy, Privacylnbressa
Author: Ovetta Sampson; Publisher: Medium; Publication Year: 2018. The following article discusses how bad algorithms compounded with bad actors have caused much technological harm over the past few years. The Facebook Russian Election scandal went through due to Facebook’s “quantitative-quest” focus within its PageRank algorithm, leaving data engineers with no idea about all the prejudices…
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DynamoFL Aims to Bring Privacy-Preserving AI to More Industries
lnbressa
Author: Kyle Wiggers; Publisher: TechCrunch+; Publication Year: 2022. The following article covers how federated learning allows machine learning (ML) models to be trained on sensitive data without having it housed on multiple different servers and/or machines. Healthcare data (especially as pandemic data was coming in quickly), financial data, and user device logs currently use this…
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Inequality in the Data Science Industry
lnbressa
Author: Aisulu Omar; Publisher: Towards Data Science; Publication Year: 2022. The following article discusses how data scientists should be more cognizant of the role they play in organizations. Their skill set as a tool can be potentially used by malicious actors. One way to counter this is to ensure representation in the training dataset in…
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