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: Shannon Vallor; Publisher: Shannon Vallor; Publication Year: N/A. The following source features Shannon Vallor who is one of the most prominent names in data ethics. She describes her research as investigating the “philosophy and…
Author: Shannon Bond, Raquel Maria Dillon; Publisher: National Public Radio; Publication Year: 2022. The following article discusses a recent Senate hearing in which Peiter Zatko, former head of security at Twitter, testified before Congress, bringing…
Author: Shahriar Akter, Grace McCarthy, Shahriar Sajib, Katina Michael, Yogesh Dwivedi, John D’Ambra; Publisher: International Journal of Information Management; Publication Year: 2021. The following paper provided a thorough framework for algorithmic biases in data driven…
Author: Hetan Shah; Publisher: National Library of Medicine; Publication Year: 2017. The following article reviews ways in which researchers can improve trustworthiness. The authors argue that transparency alone cannot lead to accountability. Additionally, legislation for…
Author: Selin Akgun, Christine Greenhow; Publisher: AI and Ethics; Publication Year: 2022. The following article discusses the current and proposed uses of artificial intelligence (AI) in promoting educational outcomes for K-12 students. It asserts that,…
Author: Sebastian Klovig Skelton; Publisher: Computer Weekly; Publication Year: 2022. The following article discusses how LexisNexis, a U.S. data broker, is being sued for allegedly violated consumer privacy and protection rights in Illinois. Essentially, they…
Author: Sean Michael Kerner; Publisher: VentureBeat; Publication Year: 2022. The following article discusses how when labeling data for modeling and machine learning, the person labeling the data can accidently introduce bias to the models. This…
Author: Scott Murray; Publisher: MIT News; Publication Year: 2022. The following article discusses how facial recognition algorithms have been known to be less accurate when detecting darker-skinned individuals, resulting in harmful bias and wrongful use.…
Author: N/A; Publisher: SciShow; Publication Year: 2018. The following video describes how when many people hear the phrase “data mining,” they think that is great and it can be, but can also cause issues due…