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  2. Algorithms of Oppression - Wikipedia

    en.wikipedia.org/wiki/Algorithms_of_Oppression

    [6] At this time, Noble thought of the title "Algorithms of Oppression" for the eventual book. [7] By this time, changes to Google's algorithm had changed the most common results for a search of "black girls," though the underlying biases remain influential. [8] Noble became an assistant professor at University of California, Los Angeles in ...

  3. Safiya Noble - Wikipedia

    en.wikipedia.org/wiki/Safiya_Noble

    In October 2020, she was featured in conversation with Meghan, Duchess of Sussex and Prince Harry, Duke of Sussex on the harms of technology, and her book Algorithms of Oppression was cited by Meghan, Duchess of Sussex for outlining how "the digital space really shapes our thinking about race." [17] [18] Noble was awarded a MacArthur Fellowship ...

  4. Algorithmic bias - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_bias

    While users generate results that are "completed" automatically, Google has failed to remove sexist and racist autocompletion text. For example, Algorithms of Oppression: How Search Engines Reinforce Racism Safiya Noble notes an example of the search for "black girls", which was reported to result in pornographic images. Google claimed it was ...

  5. Weapons of Math Destruction - Wikipedia

    en.wikipedia.org/wiki/Weapons_of_Math_Destruction

    The book received widespread praise for elucidating the consequences of reliance on big data models for structuring socioeconomic resources. Clay Shirky from The New York Times Book Review said "O'Neil does a masterly job explaining the pervasiveness and risks of the algorithms that regulate our lives," while pointing out that "the section on solutions is weaker than the illustration of the ...

  6. Timeline of women in computing - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_women_in_computing

    Safiya Umoja Noble publishes Algorithms of Oppression: How Search Engines Reinforce Racism, arguing that search algorithms are racist and perpetuate societal problems. [173]-Joy Buolamwini publishes Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification, exposing biases in facial recognition systems. [174]

  7. Multiple jeopardy - Wikipedia

    en.wikipedia.org/wiki/Multiple_jeopardy

    Multiple jeopardy and intersectionality are two related but distinct frameworks that are often confused. While intersectionality, coined by Dr. Kimberlé Crenshaw, describes how different identity factors such as race, gender, and class intersect to create unique forms of discrimination, [5] multiple jeopardy — introduced by Dr. Deborah K. King — focuses specifically on the multiplicative ...

  8. Gen Z is rejecting Boomer work rules in 5 key ways that will ...

    www.aol.com/finance/gen-z-rejecting-boomer-rules...

    Gen Z is breaking the traditional rules and conduct baby boomers have set in place for the workplace over decades. The young professionals are more comfortable with “cheating” on the job ...

  9. Talk:Algorithms of Oppression - Wikipedia

    en.wikipedia.org/wiki/Talk:Algorithms_of_Oppression

    Talk; Contents move to sidebar hide (Top) 1 Wiki Education Foundation-supported course assignment. 1 comment. ... Talk: Algorithms of Oppression. Add languages.