Category: Education & Training
-
Diversity in Data Science: A Systemic Inequality
Author: Luciano Vilas Boas; Publisher: Medium; Publication Year: 2020. The following article serves as a comprehensive look into why data science educators and large tech companies both do not hire at the proportion of Blacks,…
-
Data Science and Its Diversity Problems
Author: Lauren Church, Carol Stabile; Publisher: Ms. Magazine; Publication Year: 2021. The following article discusses the issue of diversity in the data science field, which has adverse effects on the outcomes and range of issues…
-
Data Ethics
Author: Kyle Polich, Scott Nestler; Publisher: Data Skeptic; Publication Year: 2018. In the following podcast episode, Kyle and Scott discuss that there is not currently a single, industry wide framework for ethics in data science…
-
A.I. Bias Caused 80% Of Black Mortgage Applicants To Be Denied
Author: Kori Hale; Publisher: Forbes; Publication Year: 2021. The following article describes a specific instance of an unethical artificial intelligence (AI) program where across the board minorities are being rejected from mortgage requests at higher…
-
How to Promote Ethics in Data Science and Analytics
Author: Kirsten Hoogenakker Publisher: DataDrive Publication Year: 2021 Summary: The following article discusses how math has generally been thought of as a completely unbiased form of research. Numbers are numbers, how could they be biased?…
-
NIH Injects $130M to Provide Quality Tools, Data for AI in Medicine
AI-Ready Datasets, Artificial Intelligence, Behavioral Research, Biomedical Research, National Institutes of Health, NIH, Systemic InequityAuthor: Kirsten Errick; Publisher: Nextgov; Publication Year: 2022. The following article introduces a $130 million funding effort to integrate artificial intelligence (AI) solutions into National Institutes of Health (NIH) biomedical and behavioral research. This is…
-
Trans Researchers Want Google Scholar to Stop Deadnaming Them
Author: Khari Johnson; Publisher: Wired; Publication Year: 2022. The following article identifies an ongoing problem in many search based algorithms in regards to using the correct name for a transgender individual. “Deadnaming” is the incorrect…
-
Sexist and Biased? How Credit Firms Make Decisions
Algorithms, Apple, Artificial Intelligence, Credit Score, Gender Bias, Goldman Sachs, Historical DataAuthor: Kevin Peachey; Publisher: BBC News; Publication Year: 2019. The following article describes how in November 2019, a tech entrepreneur reported that he was approved credit 20 times more on his Apple Card than his…
-
Fear, Uncertainty, and Period Trackers
Abortion, Data Confidentiality, Digital Evidence, Electronic Data, Federal Health Privacy Law, Period Trackers, Personal Data, Third-PartyAuthor: Kendra Albert; Publisher: Berkman Klein Center for Internet and Society, Harvard University; Publication Year: 2022. The following article talks about the uncertainty surrounding period trackers, and breaks down the fears behind ethical and privacy…