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: Christian Mottas; Publisher: University of Zurich; Publication Year: 2019. The following article discusses how insurers should not use data that is not related to the insured risk because such behavior will damage the customer’s…
Author: N/A; Publisher: United States Data Science Institute (USDSI); Publication Year: N/A. The following article is a framework for how the USDSI operates from an ethical perspective and it is an excellent overview for a…
Author: N/A; Publisher: UNESCO; Publication Year: 2023. The following article discusses how bias is very much prevalent in today’s artificial intelligence (AI)-systems shown through many examples. When searching for school in a search system the…
Author: N/A; Publisher: United Nations News; Publication Year: 2020. The following article discusses how artificial intelligence (AI) development is especially problematic for countries where governments do not have the ability to effectively regulate consumer privacy…
Author: Umberto Bacchi; Publisher: Reuters; Publication Year: 2022. The following article discusses how TikTok’s original text to speech voice was modeled after Bev Standing, a Canadian voice actress, whose performance was never licensed by the…
Author: N/A; Publisher: U.K. Statistics Authority; Publication Year: 2020. The following visual provides a resource that outlines data ethics into 6 different categories. These categories are public good, data security, methods, legal compliance, public views/engagement,…
Author: Ugonma Nwankwo, Michael Pisa; Publisher: Center for Global Development; Publication Year: 2021. The following article discusses how evidence-based policy making is ineffective when it relies on biased information, a potential source for this is…