Category: Education & Training
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Using Data Ethically: Tips from Four Influential Organisations
Author: N/A; Publisher: Open Data Institute; Publication Year: 2019. The following article is from the Open Data Institute (ODI), an organization that works with companies to make sure they are being compliant with data law…
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How Artificial Intelligence Can Deepen Racial and Economic Inequities
Author: Olga Akselrod; Publisher: ACLU; Publication Year: 2021. The following article presents a direct call to action to law makers to increase legislation to prevent against bias and discrimination in artificial intelligence (AI) algorithms. The…
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Introduction to Data Ethics
Author: N/A; Publisher: Odyssey Learning Project; Publication Year: 2018. The following video does an excellent job of breaking down the extensive and complicated challenge of data ethics into its most basic and essential parts. First,…
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Is Big Tech Setting Africa Back?
Author: Nima Elmi; Publisher: Foreign Policy; Publication Year: 2020. The following article looks into the way data is used as a modern tool for colonialism and argues that smart regulation cannot be the only tool…
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Algorithmic Bias Detection and Mitigation: Best Practices and Policies to Reduce Consumer Harms
Author: Nicole Turner Lee, Paul Resnick, Genie Barton; Publisher: Brookings; Publication Year: 2019. The following article introduces a framework for algorithmic hygiene which lists specific causes of bias with best practices on how to recognize…
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Europeans Can’t Talk About Racist AI Systems. They Lack the Words.
Author: Nicolas Kayser-Bril; Publisher: AlgorithmWatch; Publication Year: N/A. The following article provides an interesting international perspective based on the language use and history of Europe. An economic powerhouse in the first world, not being able…
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Automated Translation is Hopelessly Sexist, but Don’t Blame the Algorithm or the Training Data
Author: Nicolas Kayser-Bril; Publisher: Algorithm Watch; Publication Year: N/A. The following article discusses how automated translation services tend to erase women or reduce them to stereotypes. Simply tweaking the training data or the models is…