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Google Head of Ethical AI Research on Data Biases and Ethics
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Author: N/A; Publisher: Speevr; Publication Year: 2020. The following article discusses how the cause for our data ethics concerns stems from artificial intelligence (AI) starting to work. It used to be theoretical, but now these models can work but it directly can massively affect millions and millions of people. The problem is that people who…
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Why Ethics are Important in Data Science
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Author: Sibren Isaacman; Publisher: Loyola University – Maryland; Publication Year: 2018. The following article presents a reality that most data scientists will not be able to actually see the affect of their model or algorithm being implemented which makes it difficult to test the outcome from an ethical standpoint. To remedy this he suggests to…
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How Open-Source Data Labeling Technology can Mitigate Bias
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Author: Sean Michael Kerner; Publisher: VentureBeat; Publication Year: 2022. The following article discusses how when labeling data for modeling and machine learning, the person labeling the data can accidently introduce bias to the models. This article argues that an open-source way to model (i.e. let a group of people label the data) can help to…
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Reducing Bias in AI-Based Financial Services
2020, Banking & Finance, Bias, Communities of Practice, Diversity, Equity & Inclusion, Education & Training, Frameworks, Industry-Specific, News Articlelnbressa
Author: Aaron Klein; Publisher: The Brookings Institution; Publication Year: 2020. The following paper goes in depth regarding why establishing and maintaining proper data governance programs and ethical data frameworks are so important to financial institutions. As AI technologies have grown to more prominence, so have issues that have arisen with them. There have already been…
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