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The Ethics of Big Data as a Public Good: Which Public? Whose Good?
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Author: Linnet Taylor; Publisher: The Royal Society; Publication Year: 2016. The following article describes how international development and humanitarian organizations are increasingly calling for digital data to be treated as a public good because of its value in supplementing scarce national statistics and informing interventions, including in emergencies. In response to this claim, a ‘responsible…
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Effectiveness, Efficiency, and Ethics of Marketing Analytics
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Author: Julia Hopkins; Publisher: University of New Hampshire Scholars’ Repository ; Publication Year: 2016. The following thesis study talks about the effectiveness, efficiency, and ethics of marketing analytics. Also, the author says how targeted advertising affects the brand’s perception by consumers at the concepts of data marketing and re-targeted ads from 3 aspects: 1). Are…
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Top 9 ethical issues in artificial intelligence
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Author: Julia Bossmann; Publisher: World Economic Forum; Publication Year: 2016. The following article discusses 9 ethical issues with the use of artificial intelligence (AI) and the corresponding questions that should be asked: 1). Unemployment: What happens after the end of jobs; 2). Inequality: How do we distribute the wealth created by machines; 3). Humanity: How…
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The Ethics of Data and of Data Science: An Economist’s Perspective
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Author: Jonathan Cave Publisher: The Royal Society Publication Year: 2016 Summary: The following abstract provides a practical approach to articulating main inherent data ethics components that is helpful in breaking down memorable takeaways. Specifically one stood out in sum: “Pay particular attention to endogeneity—data records exist because someone thought to capture and codify them…
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Inherent Trade-Offs in the Fair Determination of Risk Scores
Author: Jon Kleinberg, Sendhil Mullainathan, Manish Raghavan; Publisher: N/A; Publication Year: 2016. The following publication discusses issues around risk scoring with credit scores and attempts to define “fairness” in this context. The main idea of this journal article is that there are various notions of what is fair when it comes to risk scoring. To…
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Twelve Principles of Data Ethics
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Author: Jacob Metcalf; Publisher: Ethical Resolve; Publication Year: 2016. The following post provides a list of 12 “universal principles of data ethics.” Although the full reports from which these were derived are not available through the links provided, the summary of each of the 12 principles is substantial enough to spark discussion among any organization…
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The Ethics of Big Data in Big Agriculture
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Author: Isabelle M. Carbonell; Publisher: SSRN; Publication Year: 2016. The following article discusses how the use of data and technology is rapidly increasing in the agriculture industry. Many big-time companies and other large agriculture firms or farms have access to data that is allowing them to improve their farming such as knowing current trends, being…
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Business Ethics and Big Data
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Author: N/A; Publisher: Institute of Business Ethics; Publication Year: 2016. The following article discusses how for both business and their customers, the responsible and ethical use of big data is in both parties interest. Society deserves to have their data and privacy be respected. More importantly, they should be made aware of how data is…
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Inside Amazon’s Clickworker Platform: How Half a Million People are Being Paid Pennies to Train AI
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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 2016, was 75% American, 10-15% Indian and mostly women, and do jobs such as data categorization, metadata tagging, data entry,…
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FAIR Principles
2016, Bias, Code of Ethics, Communities of Practice, Diversity, Equity & Inclusion, Education & Training, Frameworks, Legal & Policy, Privacy, Social Justice, White Paperlnbressa
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 create tools and materials for the Internet of FAIR Data and Services. FAIR stands for: 1). Findable: The first step…
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