Category: 2018
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The Invisible Workers of the AI Era
Author: Maximilian GAHNTZ; Publisher: Medium; Publication Year: 2018. The following article discusses how a lot of automated programs require a large of amount of workers doing blue collar work such as data entry in order…
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Considerations for Ethics Review of Big Data Health Research: A Scoping Review
Author: Marcello Ienca, Agata Ferretti, Samia Hurst, Milo Puhan, Christian Lovis, Effy Vayena; Publisher: National Library of Medicine; Publication Year: 2018. The following article discusses how big data trends in biomedical and health research enable…
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Delayed Impact of Fair Machine Learning
Author: Lydia T. Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt; Publisher: BAIR; Publication Year: 2018. The following article discusses the pursuit of fairness in terms of machine learning implementation in regards to treatment…
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Data Ethics
Author: Kyle Polich, Scott Nestler; Publisher: Data Skeptic; Publication Year: 2018. In the following podcast episode, Kyle and Scott discuss that there is not currently a single, industry wide framework for ethics in data science…
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Gender Shades
Author: Joy Buolamwini, Timnit Gebru; Publisher: MIT Media Lab; Publication Year: 2018. The following video discusses the Gender Shades project which evaluates the bias of 3 commercial artificial intelligence (AI) gender classification products (Microsoft, Face++,…
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Keynote Speaker: Joy Buolamwini Presented by SpeakInc
Algorithmic Bias, Coded Gaze, Discriminatory Practices, Exclusionary Experiences, Facial Recognition Systems, Gender Gap, IBM, Racial GapsAuthor: Joy Buolamwini Publisher: SpeakInc Publication Year: 2018 Summary: In the following video, Joy Buolamwini expands on her mission of the ‘Coded Gaze’, her term for algorithmic bias which can lead to discriminatory practices or…