This article ties in perfectly with our class and some of the topics that we have discussed. The author relates studies done by a variety of different universities and their take on teaching data ethics, in an ever-evolving society with a lack of data sensitivity.
This site divulges the proper use of both data privacy and usage. The article discusses the influence that data may have on businesses decisions, relating how easily it is to manipulate information to reflect and or buffer certain statistics. It also touches base on proper privacy protocols regarding the collection of new data.
This article breaks down the 5 core principles of data ethics that factor into businesses. It discusses the moral obligations of gathering, protecting, and using personally identifiable information and its effects on individuals. The importance of data ethics is of the utmost concern to analysts, data scientists, and information technology professionals.
The Markup is a nonprofit newsroom that seeks to display how large and powerful institutions utilize technology to influence society. The site covers many tech-related topics and current events. The most relevant umbrellas to data science ethics include The Markup’s “Prediction: Bias” and “Working for an Algorithm” sections.
This site is run by the Data for Black Lives movement. The sight sections out different areas in which data science is harming black communities. They then produce content highlighting these issues and push for solutions through raising awareness or campaigns.
This is the main educational and introductory source to data science ethics. Unlike other sites, this source does not contain cases or articles showing how data ethics are relevant in the field. This site covers 6 different topics under the data ethics span and purely seeks to educate the audience.
This case study by Irina Raicu provides ethical issues that can be presented with the creation and implementation of the griefbot. Additionally, this article, written by Chris Godfrey of The Daily Beast, provided the context for the case study and gives an overview of the artificial intelligence tool, known as griefbot, created to simulate a deceased person’s mannerisms.
This article by Nils Aoun, Chloé Currie, Ava Harrington, and Cella Wardrop, explains how the app, Spotify, used algorithms to become the most popular streaming site. Specifically, the article explores the ethics to be considered in the app’s user yearly review.
Amazon Case 2
Julien Lauret wrote this article to investigate the Amazon AI recruiting tool and find where and how it went wrong. Additionally, Pratik Bhavsar wrote this article about the same faulty tool and made suggestions as to how the tool could be improved.
Facebook Manipulation Case
A link to the research paper that was published after conducting the study on emotional contagion
Big Data Within Credit Scores
A link introducing and describing the issues that manifest by using big data to influence credit scores
OkCupid Data Scrape
A link from an independent news source covering the release of the information, the public outcry, and the response from the open forum where the data was published.
EAB Navigating System
This source provides an overview of the EAB Navigate advising system. It describes the disparate impact on students of color from the algorithm by providing facts and statistics.
This article explores the psychological ramifications and ethical implications of using artificial intelligence to create grief bots that would replicate conversations with mourners and the deceased.
This source explains the research methods and outcomes used to analyze the algorithmic bias in the COMPAS system used to predict recidivism.
This article by Rachel Goodman explains the factors that lead to Amazon’s hiring algorithm having bias against women as well as the impacts artificial intelligence has on the workplace.
This article by Wired provides an overview of the ethical violation of data misuse by researchers releasing a dataset from users’ information from the dating website OKCupid.
This article by The Verge provides information regarding Google’s flawed Photo algorithm as it falsely classified images of people of African American descent.
This article published by www.medium.com in early 2019 takes a deep dive into theAllegheny Family Screening Tool – exploring areas such as in depth analysis of how the tool/algorithm works, hypothetical scenarios, the potential harm and dangers in relying on such an algorithm to make important decisions.
In this article published by www.engadget.com in 2016, the author explains exactly how a group of Danish data scientists web-scraped the profiles of over 70,000 users from the popular dating website “OkCupid”, and released the data publicly using automated software. It also discusses how this situation raises many concerns related to data privacy, data security, and data ownership.
As one of the most well-known cases in terms of data science ethics, this article published by www.Forbes.com in 2012 explores exactly how the superstore company/giant “Target” figured out a teen girl was pregnant using predictive analytics and sent her advertisements targeted towards pregnant women before her father even knew she was pregnant: