Resources that were produced by recognizable figures within data analytics, especially those who have contributed greatly to the field.
Author: Yanmin Xu, Yitao Tao, Chunjiong Zhang, Mingxing Xie, Wengang Li, Jianjiang Tai; Publisher: Hindawi; Publication Year: 2022. The following article talks about how ethical considerations also need to be taken when using data for use of digital economies. This article discusses how digital economies are being introduced in parts of China, and what ethical issues can arise…
Author: N/A; Publisher: The Wise Marketer; Publication Year: 2022. The following article talks about how businesses could benefit from customer data and pointed out the 4 main ethical issues (ownership, transparency, consent, and equitable value exchange) that need to be aware of when processing customer data. The goal is to ensure that customers understand, agree, and benefit from the process…
Author: N/A; Publisher: The University of Queensland; Publication Year: N/A. The following article is written for the University of Queensland in Australia, but the ethical principles outlined in the document are best practice for anyone who collects, maintains, and utilizes data. The first principle states that data usage must be defined, and a cost-benefit analysis must be done for individuals affected by the data. Likewise…
Author: Will Horvath; Publisher: Data Science Ethics; Publication Year: 2019. The following article discusses how with countries fighting against the growing threat of privacy invasion (and many losing), Europe implemented in 2018 the General Data Protection Regulation (GDPR) that provides the ‘most sweeping protection of user privacy rights yet passed in the world.’ France’s CNIL used the GDPR to fine Google for $57 million…
Author: Wenhong Chen, Anabel Quan-Haase; Publisher: Social Science Computer Review; Publication Year: 2018. The following article addresses new issues created by big data, such as biases, subjectivities, and forms of oppression. They define 4 major aspects of big data ethics and politics: 1). Potential biases in big data collection and interpretation, 2). Community and citizen concerns of big data (mis)use in public life and for journalistic purposes, 3). Media…
Author: Wendy Hui Kyong Chun; Publisher: MIT Press; Publication Year: 2021. The following book discusses the innate bias that comes from dirty data and how removing indicators of race will not remove bias from artificial intelligence. The author explains several concepts including: alternative algorithms, defaults, and interdisciplinary coalitions to foster more ethical/democratic data…
Author: Violeta Mezeklieva; Publisher: Open Data Institute; Publication Year: 2020. The following article is from the Open Data Institute and it highlights the experience that the author, Violeta Mezeklieva, has had over the past year on training people on data ethics and the insights that have been gleaned from that experience. She highlights that although it is her training all kinds of folks on the importance and the concepts of data ethics, it was her who really had an educational experience observing how much she has learned from the people who go through this sort of training. She starts out by saying she…
Author: N/A; Publisher: Stanford Encyclopedia of Philosophy; Publication Year: 2020. In the following article, Dr. Müller at Stanford discusses why artificial intelligence (AI) system scandals are covered differently in the media. For a problem to qualify as a problem for AI ethics would require that we do not readily know what the right thing to do is. In this sense, job loss, theft, or killing with AI is not a problem in ethics, but whether these…
Author: Vincent Manancourt; Publisher: Politico; Publication Year: 2021. The following article discusses how last year, one European Union employee and 2 U.S. employees acted as whistleblowers on Amazon’s mishandling of customer data. For example, the data storage is so convoluted that it would be nearly impossible to enact “the right to be forgotten,” a right that people have the right to have their data completely…
Author: Victoria J. Palmer; Publisher: The Conversation; Publication Year: 2016. The following article starts off with a bold statement to capture the audience, saying the public have now become the study subjects and the collection tools. This article focuses heavily on the risks of health tracking through apps. As much as health apps can be an asset, if not handled properly sensitive data can easily be brought public. One example is…