Author: Tom Jongen; Publisher: Medium; Publication Year: 2021. The following article gives a bit of background on the current issues with using data for malintent. He then outlines some of the necessities of working with data, and what companies should require of those who work with sensitive data. The first point is to create experts in ethical thinking. They do this by training data experts on data security and the…
Author: N/A; Publisher: The Alan Turing Institute; Publication Year: N/A. The following collaboration is an ongoing United Kingdom project working with the Ministry of Justice to ensure ethical use of data and artificial intelligence in the criminal justice system. They aim to conduct research and provide information to fuel dialogues about ethical data. They also stress the need for considering audience of the ethical…
Author: Mark Feffer; Publisher: Dice; Publication Year: 2020. The following article discusses ethical data usage in the real world. There are many opportunities for employees of a particular company to view detailed data on an individual. For instance, around 150 “Google employees have access to medical data from millions of patients across 21 states.” Just because this is “legal” does not mean that this is…
Author: Mando Rotman, Tom Jongen, Floor Komen; Publisher: IG&H; Publication Year: N/A. The following tool is an Ethical Risk Quick Scan for helping clients assess the ethical risks of their data. The following questions are asked during the Quick Scan: 1). Vulnerable people impacted; 2). Number of people impacted large; 3). Matters of life affected; 4). Influencing personal behavior; 5). No, or slow, feedback loop; 6). No human in…
Author: Kristel Staci; Publisher: The Stamp; Publication Year: 2022. The following article features a discussion of some considerations that businesses need to take into account for data usage based on the perspective of a legal team. Their main points of ethical data usage are ownership, privacy, transparency, intention and outcomes. Additionally, they talk about ethical usage of algorithms where they state…
Author: Ewa Janiszewska-Kiewra, Jannik Podlesny, Henning Soller; Publisher: McKinsey Digital; Publication Year: 2020. The following article makes the case for the formation of corporate data programs to ensure data is being used ethically. In addition, this article encourages these corporate data programs to do more than just protecting privacy, such as being transparent and which data is being collected on customers and how it is being used. Best of all, this…
Author: Derick Wade; Publisher: National Library of Medicine; Publication Year: 2007. The following article discusses how ethical review committees are helpful, but the ultimate responsibility of ethical data use in healthcare falls to those organizations acquiring and examining the data. In many cases involving healthcare research, explicit consent is not required from the data subject. Because patients lose control over their data, they should be…
Author: David B Larson, David C Magnus, Matthew P Lungren, Nigam H Shah, Curtis P Langlotz; Publisher: National Library of Medicine; Publication Year: 2020. The following article discusses how when we use data to serve patients in hospitals or doctors offices, then that data has served its purpose. At what point should clinical data be used as a sort of public information so that we can help other people with similar health situations get the proper healthcare that they need? It is a tricky subject…
Author: Dave Tarrant James Maddison; Publisher: Open Data Institute; Publication Year: 2021. The following tool is for anyone who collects, shares or uses data. It helps identify and manage ethical issues – at the start of a project that uses data, and throughout. It encourages people to ask important questions about projects that use data, and reflect on the responses. It provides a framework to develop ethical guidance that suits any context…
Author: Charles Duhigg; Publisher: Random House Trade Paperbacks; Publication Year: 2014. The following book discusses how in 2002, statistician Andrew Pole began working for Target as a data expert. He was tasked with making an algorithm that could predict pregnancy status. A year after his algorithm was implemented, the father of a high school female angrily entered a Minnesota Target wondering why his…