Category: Bias
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Shedding Light on Healthcare Algorithmic and Artificial Intelligence Bias
Click here to access original source Author: Caleb J. Colon-Rodriguez Publisher: US Department of Health and Human Services; Office of Minority Health Year: 2023 Summary: This article discusses the potential causes and costs of algorithmic…
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Ethical Concerns Grow as AI Takes on Greater Decision-Making Role
Click here to access original source Author: Ameera AlHasan Publisher: ASC Year: 2023 Summary: This article delves into ethical concerns about AI applications within the healthcare industry. The author reviewed the AI creation process and…
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Ethical and legal challenges of artificial intelligence-driven healthcare
Click here to access original source Author: Sara Gerke, Timo Minssen, Glenn Cohen Publisher: Artificial Intelligence in Healthcare Year: 2020 Summary: The article explores the ethical and legal challenges arising from the use of artificial…
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The impact of recommendation algorithms on the UK’s music industry
Click here to access original source Author: Various authors Publisher: GOV.UK Year: 2023 Summary: This study in the UK investigates the widespread belief that recommendation algorithms on streaming platforms like Spotify and Apple Music unfairly…
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Panel Discussion: Data Ethics in the Stories We Tell
Author: N/A; Publisher: ParsonsTKO; Publication Year: 2021. The following video discusses how data storytelling is essential for any good data scientist. This makes it even more important for data scientists to be aware of privacy…
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Data Science Ethics in 6 Minutes
Author: N/A; Publisher: YimmyTalks; Publication Year: 2020. The following video starts off by discussing the importance of data and data scientists in today’s society outlining their power and influence. It then shifts to talking about…
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Enterprise Data Ethics Framework
Author: N/A; Publisher: The University of Queensland; Publication Year: N/A. The following article is written for the University of Queensland in Australia, but the ethical principles outlined in the document are best practice for anyone…
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The Apple Card Didn’t ‘See’ Gender—and That’s the Problem
Author: Will Knight; Publisher: Wired; Publication Year: 2019. The following article touches on the idea of bias “proxies,” like address information as a proxy for race. It talks about how the Apple Card was offering…