Author: lnbressa

Technology and Public Purpose

Mentorship, Research Practices, Stakeholder Engagement, TAPP Project

Author: N/A; Publisher: Belfer Center for Science and International Affairs, Harvard University; Publication Year: N/A. The following article discusses how biases and systems that routinely exclude and oppress have spread from the physical world into…
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Credit Scoring and the Risk of Inclusion

Alternative Data Initiatives, Bias Mitigation, Credit Score, Racial Inequality

Author: Tamara K. Nopper; Publisher: Medium; Publication Year: 2022. The following article examines the possibilities of alternative data initiatives for mitigating racial inequality in the U.S. credit scoring system This discusses the for-profit credit evaluation…
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Ethical Relationships: Donors ARE Data – the Ethical Implications of Data Hygiene

Data Cleaning, Donations, Donors

Author: T. Clay Buck; Publisher: AFP Global; Publication Year: 2019. The following article discusses the implications of maintaining clean data within a not-for-profit setting. In particular it focuses on how clean data about donations and…
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AI-Powered ‘Genderify’ Platform Shut Down After Bias-Based Backlash

Artificial Intelligence, Biased Data, Gender Bias, Genderify, Twitter

Author: N/A; Publisher: Synced; Publication Year: 2020. The following news article talks about Genderify, an artificial intelligence (AI)-powered tool designed to identify a person’s gender by analyzing their name, username or email address — has…
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The Rising Concern Around Consumer Data And Privacy

Consumer Data, European Union, GDPR, General Data Protection Regulation

Author: Swish Goswami; Publisher: Forbes; Publication Year: 2020. The following article explores the importance of privacy with regard to consumer data in the modern world, where privacy concerns have been rising. The author mentions how…
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A Good Talk About Good Data

Google, Personal Privacy, Personally Identifiable Information, Targeted Personal Data

Author: Susanne Schmidt, Sam Gilbert; Publisher: Open Innovations; Publication Year: 2021. In the following article, Susanne and Sam wrestle with different definitions of data ethics and the contexts behind these definitions. They decide that the…
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Making It Easier to Compare the Tools for Explainable AI

Explainability, Metadata, Usability, Utility, XAI Toolsheet

Author: Surya Karunagaran; Publisher: Partnership on AI; Publication Year: 2022. The following article focuses on how Partnership on AI, inspired partially by Google Model Cards and Microsoft’s Datasheets for Datasets, has developed documentation on explainable…
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Best Practices for Avoiding AI Biases in Data and Why It’s Important

Biased AI, Discriminatory Practices, Human Bias, Training Data, Unbiased Algorithms

Author: Sunil Yadav; Publisher: Baseline; Publication Year: 2022. The following article discusses how technology is created by humans and often reflects human biases. It is important to prioritize having unbiased artificial intelligence (AI) algorithms and…
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AI Ethics: Two Major Concerns it Addresses and Should it Become a Core Element in Data Science?

AI Development, Artificial Intelligence, Ethical Principles

Author: Stylianos Kampakis; Publisher: The Data Scientist; Publication Year: N/A. The following article features Dr. Kampakis, a data scientist for 10 years, who addresses 2 major concerns with artificial intelligence (AI) ethics and provides 3…
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