Category: News Article
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The Ethical Data Dilemma: Why Ethics Will Separate Data Privacy Leaders From Followers
Author: Stephen Ritter; Publisher: Forbes; Publication Year: 2020. The following article talks about the current period in 2020, when enterprises around the world have unprecedented, nearly unfiltered access to consumers’ personal data, businesses are facing…
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Talking Ethical AI with Dream11’s Abhishek Ravi
Author: Sri Krishna; Publisher: Analytics India Magazine; Publication Year: 2022. The following article features an interview with an ethically-centered founder regarding artificial intelligence (AI). The fantasy sports industry makes it a relatable topic and the…
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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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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.…