Resources that discuss ideas, methods, programs, regulations, protections and case studies when collecting and utilizing data.
Author: N/A; Publisher: ParsonsTKO; Publication Year: 2021. The following video discusses how data storytelling is essential for any good data scientist. This makes it even more important for data scientists to be aware of privacy concerns, and avoid bias, and misinterpretation. This video includes panelists that all have expertise in the data ethics and regarding public relations. For example, if you publish a…
Author: Will Knight; Publisher: Wired; Publication Year: 2019. The following article touches on the idea of bias “proxies,” like address information as a proxy for race. It talks about how the Apple Card was offering lower credit limits for women compared to men even though gender was specifically excluded as a variable. The author argues that we should be including those specific variables so that the…
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: Vindu Goel; Publisher: The New York Times; Publication Year: 2014. The following article focuses on issues prompted by controversial studies by Facebook. The first, in 2014, measured how users’ emotions were impacted by an adjustment to the kind of content appearing in their news feed. The second, from 2010, sent notifications to users reminding them to vote, and found that notifications that showed a list…
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: Tristan Harris, Audrey Tang; Publisher: Your Undivided Attention; Publication Year: 2020. The following podcast episode features Audrey Tang, minister of digital affairs in Taiwan. She is a transgender woman that identifies as “post-gender” and the first non-binary person to hold an executive-level position in Taiwan. In this interview, she discusses how she has helped implement greater data transparency in the government and outlines methods…
Author: Tricia Bisoux; Publisher: AACSB; Publication Year: 2019. The following article discusses how graphs can be highly misleading. As an ethical data scientist, it is important to both create visuals that convey the accurate information and not be a part of misinformation and also know how to interpret visuals well. It is important to be aware of biases when making graphs and to know when reading them, that they are not…
Author: Todd Lohr, Tracy Gusher; Publisher: KPMG International; Publication Year: 2019. The following report contains policies and actions that can be implemented to operate an ethical artificial intelligence (AI). The 5 pillars are: 1). Prepare employees now, 2). Develop strong oversight and governance, 3). Align cybersecurity and ethical AI, 4). Mitigate bias, and 5). Increase transparency…
Author: Timnit Gebru; Publisher: DAIR Research Institute; Publication Year: N/A. The following website features an interdisciplinary and globally distributed artificial intelligence (AI) research institute that was founded by Timnit Gebru who was fired by Google in December 2020 for raising issues of discrimination in the workplace as was was the co-lead for Google’s Ethical AI research team. This resource seemed unique because it’s…
Author: Tim Harford; Publisher: Tim Harford (Personal Website); Publication Year: 2021. The following article discusses how Florence Nightingale, the founder of modern nursing, famously used data visualization to communicate the impact of the Sanitary Commission’s work on the medical outcomes of soldiers. Although her thinking about sanitation was largely correct, her choice to use a rose diagram was somewhat unbecoming…