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Ethics of Data Collection: Is Your Data Ethically Resourced?
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Author: Aren Carpenter; Publisher: Medium; Publication Year: 2020. The following article discusses how data protection and usage protections for users and consumers have been a hot topic in recent years, and there are many examples of issues that have arisen for certain companies. While data collection can be used for good, there are still challenges.…
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If Data Could Talk: The Ethics of Visualizing Data on Race
Author: Andy Cotgreave; Publisher: Tableau; Publication Year: 2020. The following podcast episode/video features hosts discussing how our data is not race-neutral, and that we as a society are starting to wake up and be more aware of the inequities that hide within the data. Simply put, data is not just data. Every single data point,…
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7 Types of Bias in Machine Learning
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Author: N/A; Publisher: Telus International; Publication Year: 2021. The following article discusses how ensuring a diverse team is important, but you can “enlist the help of someone with the domain expertise to review your collected and/or annotated data. Someone from outside of your team may see biases that your team has overlooked.” Bias testing should…
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AI Solutions to Change Your Business
Banking & Finance, Blog Article, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Healthcare, Industry-Specificlnbressa
Author: N/A; Publisher: Accenture; Publication Year: N/A. The following framework is unique in that it is not published by a third party, a data ethics organization, or an educator. Rather, this is the ethical framework that Accenture, a Fortune 500 IT and consulting company, uses to guide its practices and publications for others in the…
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Why Embracing Ethical AI is Critical for Insurers
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Author: Abhishek Lall; Publisher: Verisk; Publication Year: 2021. The following article identifies 3 ways that AI can go wrong in the insurance industry: biased and hidden data, incomplete data, and gaps in subject matter expertise. To ensure an ethical approach to AI, the author recommends building a proper framework, quality assurance process, analytics governance, and…
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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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