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An Ethical Checklist for Data Science
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Author: Alan Fritzler; Publisher: Data Science for Social Good; Publication Year: N/A. The following article provides a framework for key questions data scientists should ask themselves as they pursue their projects. The article argues that asking these questions is a good way to improve the chance of delivering projects with a truly positive social impact.…
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How to Interview a Tech Company: A Guide for Students
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Author: N/A; Publisher: AI Now Institute; Publication Year: 2019. The following article has readers consider the importance of how a company acts ethically or unethically, or even if there are considerations in place. As we have learned, data science and analytics can have real impacts on people and in perpetuating disparities or forming new ones.…
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An Evaluation of the Job Landscape and Trends in AI Ethics
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Author: Quentin J Louis, Joshua Walker, Katherine Lai, Victoria Matthews, Kitty Atwood, Susanna Raja, Ayomikun Bolaji; Publisher: Data Ethics 4 All; Publication Year: 2022. The following resource is an in-depth evaluation with three recommendations including 1). “efforts to acknowledge AI in the private sector must move beyond performative approaches driven by obligation; 2). “high-profile AI…
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Ethics in Action – MIT
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Author: Adam Zewe; Publisher: Massachusetts Institute of Technology; Publication Year: 2022. The following article explains how MIT has begun offering an Experiential Ethics summer course in which students work through real-world ethical dilemmas while often interning in the same fields that they’re studying. The 3-year-old course focuses on ethical concepts like the intercepts of technology…
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Building Data and AI Ethics Committees
2019, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Education & Training, Social Justice, White Paperlnbressa
Author: N/A; Publisher: Accenture, Northeastern University Ethics Institute; Publication Year: 2019. The following framework on page 15 of this document outlines what a “hypothetical committee on data use might look like” with 9 people at the table. “For any given ethics committee, members will have appropriate domain knowledge as well. For example, the consumer advocate,…
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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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Philosophy Bites: Peter Railton on AI and Ethics
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Author: Peter Railton; Publisher: Philosophy Bites on Podcast Addict; Publication Year: 2022. The following podcast episode talks about the nature of AI from a philosophical lens and asks what kind of moral responsibility should we give to AI. The episode reckons with the question of whether these entities actually have a moral responsibility. The philosopher,…
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AI in Banking: Survey Reveals Factors for Success | SAS
Banking & Finance, Bias, Blog Article, Education & Training, Frameworks, Industry-Specific, Notable Peoplelnbressa
Author: N/A; Publisher: SAS Insights; Publication Year: N/A. The following post is about where AI is being implemented in banking, what it is being used for, and who is in charge of keeping an eye on the results. The post utilizes bar charts to illustrate the information. The post talks about how banks are currently…
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