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Ethical Guidelines for Statistical Practice
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Author: The Committee on Professional Ethics of the American Statistical Association; Publisher: The American Statistical Association; Publication Year: 2022. The following article discusses the guidelines that statisticians should follow to ensure ethical decision making and is divided into 5 key principles: 1). Professional Integrity and Accountability; 2). Integrity of Data and Methods; 3). Responsibilities to…
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Data Ethics
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Author: N/A; Publisher: Cognizant; Publication Year: N/A. The following glossary entry defines and expands on the concept of data ethics. The entry defines data ethics as a branch of ethics that evaluates data practices—collecting, generating, analyzing and disseminating data, both structured and unstructured—that have the potential to adversely impact people and society. It…
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Amazon’s $3.9 billion One Medical Acquisition is Already Raising Data Privacy Concerns
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Author: Clint Rainey; Publisher: Fast Company; Publication Year: 2022. The following article discusses how Amazon recently acquired One Medical, a subscription-based healthcare services company. There are concerns over what Amazon will do with the protected healthcare data of One Medical’s customers, especially now that Roe v. Wade has been overturned. Who will have access to…
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St. Louis Cardinals Hacking Allegations Raise Ethical, Encryption Concerns, Stanford Law Expert Says
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Author: Clifton B. Parker; Publisher: Stanford News; Publication Year: 2015. The following article highlights the benefits and risks of data analytics in sports. In 2015, the Federal Bureau of Investigation (FBI) launched an investigation searching for hacking in the St. Louis Cardinals’ organization. The article calls major league baseball teams to not “talk the talk”…
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Why Marketers Should Explore These 4 Emerging Technology Trends
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Author: Claudia Ratterman; Publisher: CMSWIRE; Publication Year: 2022; The following article describes how there are 3 emerging technologies that will transform companies’ marketing abilities. The first development is artificial intelligence (AI) software that can detect customers’ emotions. One of the concerns about this software is that it can be used to manipulate customers’ emotions…
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Bias in Machine Learning
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Author: N/A; Publisher: Miro; Publication Year: N/A. The following visualization highlights the impact of bias in several aspects of the machine learning lifecycle. One point discussed frequently is the patterns of bias and discrimination baked into data sets. This image highlights that the real world patterns of discrimination and inequality are the source of the…
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Managing Data Ethics: A Process-Based Approach for CDOs
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Author: Christopher Wilson; Publisher: Deloitte. Insights; Publication Year: 2019. The following article discusses how businesses are sometimes so concerned about solving issues with data that they ignore the new issues that arise from even using data. This article makes an interesting point that the definition of ethics related words is changing in a data context.…
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How Inclusive Machine Learning Can Benefit Your Organization
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Author: Christopher Tozzi; Publisher: ITPro Today; Publication Year: 2022. The following article discusses how businesses have started putting more of an “inclusive” focus on machine learning models to avoid bias and error while creating models. The article shares several benefits to an inclusive approach. These include reaching more users, having happier users, less complaints, less…
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Understanding Data Quality: How Data Quality Problems Arise
Author: Christopher Tozzi; Publisher: Precisely; Publication Year: 2022. The following article discuses how data quality is the data set’s ability to serve a business for its intended use. Data quality is essential because It allows a company to use data to reach its customers effectively. Data quality can be problematic if not dealt with appropriately.…
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Doing Data for Good Right
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Author: Christine Henry; Publisher: DataKind; Publication Year: 2018. The following article features DataKind (a data-for-good organization) outlining their data code of ethics for being a pro-bono data scientist. They emphasize that ethics is always important, but especially in data-for-good, when analysis impacts especially vulnerable populations. They compiled a living document…
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