Category: Diversity, Equity & Inclusion
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Data Science Ethics Checklist
Author: N/A; Publisher: Driven Data; Publication Year: N/A. The following resource is Deon which is a command line tool that generates an ethics checklist to help decide if your project is an ethical data science…
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Five Moves for a More Holistic Approach to Ethics in the Technology Industry
Author: N/A; Publisher: Deloitte Analysis; Publication Year: N/A. The following resource outlines a framework to providing a more holistic approach to ethics within the technology industry. It states the 5 necessary ways to accomplish and…
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Transparency and Responsibility in Artificial Intelligence
Author: N/A; Publisher: Deloitte; Publication Year: 2019. The following publication emphasizes the need for artificial intelligence (AI) that is transparent and responsible in that it has been thoroughly tested, is explainable, and has undergone many…
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Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework
Author: David B Larson, David C Magnus, Matthew P Lungren, Nigam H Shah, Curtis P Langlotz; Publisher: National Library of Medicine; Publication Year: 2020. The following article discusses how when we use data to serve…
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Incorporate Inclusivity
Author: Data Science Ethics Podcast Publisher: Spotify Publication Year: 2020 Summary: The following podcast episode discusses how gender and racial gaps exist in the field of data science as it tends to be dominated by…
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Gaining a Competitive Advantage Through Data Ethics
Algorithms, Artificial Intelligence, Data Ownership, Data Protection, Machine Learning, TransparencyAuthor: Danielle Clifford; Publisher: Pinsent Masons; Publication Year: 2021. The following article discusses how the data ethics challenge spans multiple vectors. One of the most concerning issues centers around the artificial intelligence (AI) and machine…
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Ethics for Big Data and Analytics
Author: Daniel E. O’Leary; Publisher: IEEE Xplor; Publication Year: 2016. The following article investigates some issues associated with Big Data and analytics (Big Data) and ethics, examining how Big Data ethics are different than computer…