Author: lnbressa
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Shannon Vallor
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…
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Twitter Whistleblower Peiter “Mudge” Zatko Testifies to Congress
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…
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Algorithmic Bias in Data-Driven Innovation in the Age of AI
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…
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Algorithmic Accountability
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…
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Artificial Intelligence in Education: Addressing Ethical Challenges in K-12 Settings
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,…
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LexisNexis Sued by Immigration Advocates Over Data Practices
Aggregation, Consumer Privacy, Immigration and Customs Enforcement, LexisNexis, Private Data, Protection Rights, Public Data, SurveillanceAuthor: 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…
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How Open-Source Data Labeling Technology can Mitigate Bias
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…
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How Artificial Intelligence can Help Combat Systemic Racism
Advocacy, Artificial Intelligence, Collaboration, Facial Recognition Systems, Systemic Inequity, Systemic RacismAuthor: 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.…
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Data Mining: How You’re Revealing More Than You Think
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…