Category: 2016

Inside Amazon’s Clickworker Platform: How Half a Million People are Being Paid Pennies to Train AI

Amazon, Machine Algorithms, Mechanical Turk

Author: Hope Reese; Publisher: Tech Republic; Publication Year: 2016. The following article discusses how Amazon’s Mechanical Turk (AMT) is an online platform that allows people to perform small tasks for pay. This group, as of…
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FAIR Principles

Accessibility, Fairness, Findability, GO FAIR, Implementation Networks, Interoperability, Reusability

Author: N/A; Publisher: GO FAIR; Publication Year: 2016. The following article focusses on GO FAIR, a stakeholder-driven and self-governed initiative that aims to implement the FAIR data principles. They use Implementation Networks to define and…
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Ethics for Big Data and Analytics

Big Data, Computer Ethics

Author: Daniel E. O’Leary; Publisher: IEEE Xplor; Publication Year: 2016. The following article investigates some issues associated with Big Data and analytics (Big Data) and ethics, examining how Big Data ethics are different than computer…
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What Star Wars Can Teach Us About Cyber Ethics

Cyber Ethics, Data Breach, Star Wars

Author: Dan Lohrmann; Publisher: Security InfoWatch; Publication Year: 2016. The following article attempts at relating Star Wars to cyber ethics. It relates the “Dark Side” to data breaches. It first states that sometimes, we are…
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Emerging Ethical Issues Regarding Digital Health Data. On the World Medical Association Draft Declaration on Ethical Considerations Regarding Health Databases and Biobanks

Biomedical Studies, Consent, Health Biobanks, Health databases, Human Materials, Personally Identifiable Information, WMA, World Medical Association

Author: Christine Aicardi Publisher: National Library of Medicine Publication Year: 2016. The following article talks about the World Medical Association (WMA) draft on Ethical Considerations Regarding Health Databases and Biobanks. The draft Declaration indeed stresses…
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Weapons of Math Destruction

Algorithms, Efficiency, Inequality, Prejudice, Weapons of Math Destruction

Author: Cathy O’Neil; Publisher: Crown; Publication Year: 2016. The following book discusses “weapons of math destruction”: algorithms that try to quantify subjective qualities or judgment metrics. For example, an algorithm that tries to quantify “creditworthiness”…
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The Ethical Data Scientist

Predictions, Predictive Models, Racial Bias, Systematic Racism

Author: Cathy O’Neil; Publisher: Slate; Publication Year: 2016. The following article discusses when deciding which variables to include in a model, some factors (race, etc.) can be easily excluded to ensure that racial bias in…
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17 Tech Companies That Lobby the Government Most

Amazon, Big Tech, Facebook, Google

Author: N/A; Publisher: Business Insider India; Publication Year: 2016. The following article lists down the total amount of money being spent by big tech corporations such as Google, Facebook, Amazon and others. It shows they…
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The Ethics of Big Data: Current and Foreseeable Issues in Biomedical Contexts

Big Data, Big Data Divides, Biomedical Studies, Consent, Epistemology, Objectivity, Ownership

Author: Brent Daniel Mittelstadt, Luciano Floridi; Publisher: The Ethics of Biomedical Big Data; Publication Year: 2016. The following article pays particular attention to biomedical Big Data due to the inherent sensitivity of medical information. 5…
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