Author: lnbressa

Data Brokers: Last Week Tonight with John Oliver

3rd Party Cookies, Federal Bureau of Investigation, Immigration and Customs Enforcement, Personal Data

Author: John Oliver; Publisher: Last Week Tonight; Publication Year: 2022. The following video discusses how 3rd party cookies on the internet track everything that you do and constantly monitor your location and interests. Companies make…
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Under Armour Arms MyFitnessPal Users with Facts About Data Breach, After Curious Delay

Health Tracker, MyFitnessPal, Personal Data, Under Armour

Author: Hayley Jennings; Publisher: PR News; Publication Year: 2018. Summary: The following article discusses how on March 29, 2018, Under Armour released a statement that their own MyFitnessPal health tracker app was hacked by an…
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Regulators Look at How “Big Data” May Contribute to Racial Bias in Insurance Rates

Discrimination, Insurance Rates

Author: Harriet Jones; Publisher: Marketplace; Publication Year: 2021. The following article describes how the pricing model has become more sophisticated over the years, the factors that decide the insurance rates have become more numerous and…
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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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The Danger of Predictive Algorithms in Criminal Justice

Algorithms, Machine Learning, Predictive Algorithms

Author: Hany Farid; Publisher: TEDx Talks; Publication Year: 2018. The following video discusses how predictive algorithms are widespread and have ethical issues. He gave one study example where random internet people were given prompts and…
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Meet the Activists Perfecting the Craft of Anti-Surveillance

Artificial Intelligence, Black Lives Matter, Body Cameras, Encryption, Facial Recognition Systems, George Floyd, Government Security, Government Surveillance, License Plate Readers, Predictive AI, Stingray Devices, Surveillance State

Author: Hannah Murphy; Publisher: Financial Times; Publication Year: 2021. The following article describes how activists are fighting against the collusion between big tech companies and government security apparatus. Public anxiety has grown over state surveillance…
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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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Why Data Scientists Should Make a Commitment to Diversity

Algorithms, Fairness

Author: N/A; Publisher: Information Week; Publication Year: 2018. The following article emphasizes the power that data scientists hold when addressing ethics, as many big companies employ them to create impactful algorithms and recommendations. Specifically, data…
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