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: 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: N/A; Publisher: We All Count; Publication Year: N/A. The following article discusses how anytime data is involved, decisions are being made and those decisions have consequences. Equity needs to be at the forefront, and this 7-step framework is a systematic approach to doing so. Each step has equity-impacting decision points that must be evaluated. These steps are 1). Funding (this is the stage that…
Author: N/A; Publisher: Wall Street Journal; Publication Year: 2018. The following video discusses how even though the General Data Protection Regulation (GDPR) was enforced in Europe, and not in the United States, it could be beneficial to look at how things are done in different countries. In May 2018, a new legislation was passed to ensure greater data privacy in European countries. This quick video…
Author: Vivek Katial; Publisher: Multitudes; Publication Year: N/A. The following article starts by introducing the profound effect that algorithms and, in particular, decisions from algorithms have on our life today. The author goes on to define algorithmic bias as “the ability of algorithms to systematically and repeatedly produce outcomes that benefit one particular group over another.” The article then goes on to state…
Author: Tom Davenport; Publisher: Forbes; Publication Year: 2020. The following article describes how gaining a competitive edge has been a long-time goal for teams within the sporting industry. The most well-known and recent example of a team crossing the ethical line into the territory of cheating is the Houston Astros in 2017. While the ethical issue was violating privacy, and it was only the opposing team’s…
Author: Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, Kate Crawford; Publisher: Microsoft; Publication Year: 2019. The following proposal identifies that as the field of machine learning has grown, we continually see misuse of algorithmic processes or data that reinforces biases or has other ethical and legal concerns. The proposal here is that similar to the electronics agency, each “component” in data should have a description, prompted by questions in 7 categories…
Author: Tim Sheehan; Publisher: GWI; Publication Year: N/A. The following article discusses how banks are starting to change the way they do business due to so much data being available. But the banking companies do not want to lose the trust of their customers. The article suggests for banks to share with their customers what data they have collected on them, allow for opt-in consent, only get what data they…
Author: Thorin Klosowski; Publisher: The New York Times, Wirecutter; Publication Year: 2021. The following article points out the massive amount of data that is collected on us daily by all sorts of different companies. These companies sometimes sell this data, and other times the data gets hacked. It pointed out several situations of how data getting leaked is harmful. The article is proposing that is not how it has to be. We could rebuild our internet to…
Author: Thomas Davenport, Jeanne Harris; Publisher: Harvard Business Review; Publication Year: 2007. The following article provides a similar flow to 5 Dysfunctions of a Team in which a scenario is first used to get important themes in business analytics and ethics across for later discussion. The scenario describes a grocery company that has a massive dataset based on its customers’ cards and what they buy, and they were thinking about selling this…