Category: Diversity, Equity & Inclusion

Privacy & Security Perspectives: Interoperability, Prospects for HIPAA Refresh, More

Perspective, Sensitive Data, Technology Development

Author: Bill Siwicki; Publisher: Healthcare IT News; Publication Year: 2020. The following article features a conversation highlighting the importance of keeping multiple perspectives in mind for any kind of technology development that requires sharing of…
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We Don’t Have Enough Women in Clinical Trials — Why That’s a Problem

Clinical Trials, Gender Gap, Training Data

Author: Elizabeth Pratt; Publisher: Healthline; Publication Year: 2020. The following article discusses how data scientists need to be cautious about applying results across all demographics if all demographics were not well represented in the data…
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Why We Need Data Ethics by Design

Private Sector, Public Sector, User-Centered Design

Author: Haroon Ahme; Publisher: Open Access Government; Publication Year: 2022. The following article discusses how while moving through the lifecycle of a project, user-centered design is (and should be) an important consideration at every stage.…
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The Problem with “Biased Data”

Machine Learning, Mental Framework, Terminology & Language

Author: Harini Suresh; Publisher: Medium; Publication Year: 2019. In the following article, the author points out that language matters and that the right terminology forms a mental framework. The author also provides a framework for…
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Data Science Ethics

Algorithmic Fairness, Anonymity, Consent, Data Ownership, Data Validity, University of Michigan

Author: H.V. Jagadish; Publisher: University of Michigan, Coursera; Publication Year: N/A. The following course from the University of Michigan on Coursera. It is primarily an introductory course that provides the history of the concept of…
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Google Model Cards: A Proposed First Step

Google, Machine Learning, Transparency

Author: N/A; Publisher: Google Cloud; Publication Year: N/A. The following tool is a proposed method for machine learning transparency similar to Microsoft’s Datasheets for Datasets. It proposes a “card” that comes with each model, designed…
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FAIR Principles

Accessibility, Fairness, Findability, GO FAIR, Implementation Networks, Interoperability, Reusability

Author: N/A; Publisher: GO FAIR; Publication Year: 2016. The following article focusses on GO FAIR, a stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles. They use Implementation Networks to define and…
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Facebook Knows Instagram Is Toxic for Teen Girls, Company Documents Show

Facebook, Instagram, Teenage Girls

Author: Georgia Wells, Jeff Horwitz, Deepa Seetharaman; Publisher: The Wall Street Journal; Publication Year: N/A. The following article discusses how internal reports at Facebook found that Instagram presented real harm to teenage girls. About 1/3…
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The Racial Data Gap: Lack of Racial Data as a Barrier to Overcoming Structural Racism

Data Collection, Data Reporting, Public Health, Racial Gaps, Structural Racism

Author: Geoffrey Holtzman, Neda Khoshkhoo, Elaine Nsoesie; Publisher: The American Journal of Bioethics; Publication Year: 2022. The following article discusses how there is a consistent racial disparity in data, particularly as this article points out,…
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