Explore our collection of data ethics resources
Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.
Dive into our expansive collection of articles, case studies, datasets, and multimedia content, carefully compiled and continually updated to reflect the latest in ethical considerations in analytics.
Author: Danel Goddemeyer, Dominikus Baur; Publisher: TEDx; Publication Year: N/A. The following TED Talk features a collaborative audience demonstration on collecting data. It makes connections to how easy is it to leave a data trail…
Author: Dan Wardrope; Publisher: Flexxable; Publication Year: N/A. The following article reviews people’s reactions to The Great Hack on Netflix. The Great Hack exposes the wrong-doing of mass data exploitation during the Cambridge Analytica scandal.…
Author: Dan Power; Publisher: Evanta; Publication Year: 2022. The following article lists questions that need to be asked to check if any ethics problems exist or if anything has been missed. Large companies such as…
Author: Dan Lohrmann; Publisher: Security InfoWatch; Publication Year: 2016. The following article attempts at relating Star Wars to cyber ethics. It relates the “Dark Side” to data breaches. It first states that sometimes, we are…
Author: Dan Bouk; Publisher: Wired; Publication Year: 2022. The following article provides what could be considered a history lesson about the U.S. Census. It touches on topics related to accurate collection of data (including measures…
Author: Damini Gupta, T. S. Krishnan; Publisher: California Review Management; Publication Year: 2020. The following article highlights the importance and the need to reduce algorithmic bias. The article starts by recognizing that human bias will…
Author: d’Alessandro B, O’Neil C, LaGatta T.; Publisher: National Library of Medicine; Publication Year: 2017. The following article describes discrimination in the context of machine learning. The authors discuss how models can be biased even…