Category: Code of Ethics

Amazon Scholars Michael Kearns and Aaron Roth Discuss the Ethics of Machine Learning

Bias Elimination, COVID-19 Contact Tracing, Machine Learning

Author: Stephen Zorio; Publisher: Amazon: Science; Publication Year: 2020. In the following article, panelists discuss the tradeoff between accuracy and privacy when dealing with sensitive situations and machine learning (ML) models. They provide a relevant…
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The Ethical Data Dilemma: Why Ethics Will Separate Data Privacy Leaders From Followers

Big Data, Consumer Data, Data Collection, Data Privacy, Data Usage, Personal Data

Author: Stephen Ritter; Publisher: Forbes; Publication Year: 2020. The following article talks about the current period in 2020, when enterprises around the world have unprecedented, nearly unfiltered access to consumers’ personal data, businesses are facing…
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Why Data Ethics in Marketing is Important and What to Do About It

Building Trust, Customer Centricity, Data Integration, Data Minimization, First-Party Data, Incremental Consent, Marketing, Repeat Business, Zero-Party Data

Author: Stéphane Hamel; Publisher: Supermetrics; Publication Year: 2020. The following article explains how data ethics is still a relatively new concept. It explains why data ethics has become a major topic in marketing and explains…
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Data Responsibility: Using Corporate Data to Improve Our Lives

Big Data, Data Responsibility

Author: Stefaan Verhulst; Publisher: TEDx Talks; Publication Year: 2017. The following talk opens with a story on how big data collected by corporations have been essential in disaster relief, and how this could be just…
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Ethical Dilemmas in Data Science

Artificial Intelligence, European Union, General Data Protection Regulation, Machine Learning

Author: N/A; Publisher: statistics.com; Publication Year: N/A. The following article talks about the legal side of ethical data science. It talks about how the European Union passing the General Data Protection Regulation (GDPR) in 2016…
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Data Ethics and Global Cultural Differences

Ethical Frameworks, European Union, Transparency

Author: Soren Juul Jorgensen; Publisher: Nature; Publication Year: N/A. The following article discusses how as individual data becomes more exploited by companies in the name of profit and advancement of humanity, Jorgensen looks at studies…
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Why It’s So Damn Hard to Make AI Fair and Unbiased

Fairness, Statistics

Author: Sigal Samuel; Publisher: Vox; Publication Year: 2022. The following article introduced the idea of bias in a statistical sense and how bias is interpreted in society. This is an important distinction to recognize and…
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Why Ethics are Important in Data Science

Algorithms, Modeling

Author: Sibren Isaacman; Publisher: Loyola University – Maryland; Publication Year: 2018. The following article presents a reality that most data scientists will not be able to actually see the affect of their model or algorithm…
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Data Science Meets Law

Artificial Intelligence, Data Science, Lawyer

Author: Shlomi Hod, Karni Chagal-Feferkorn, Niva Elkin-Koren, Avigdor Gal; Publisher: Communications of the ACM; Publication Year: 2022. The following article explains ways that data science is meeting the legal space and how lawyers are being…
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