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[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 ...
Algorithmic bias does not only include protected categories, but can also concern characteristics less easily observable or codifiable, such as political viewpoints. In these cases, there is rarely an easily accessible or non-controversial ground truth, and removing the bias from such a system is more difficult. [148]
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 ...
Noble's first book, Algorithms of Oppression, was published by NYU Press in 2018 and has been reviewed in journals such as the Los Angeles Review of Books and was featured in the New York Public Library 2018 Best Books for Adults. [32] [33] [34] It considers how bias against people of color is embedded into supposedly neutral search engines. [34]
The book received positive reviews from critics, who singled out its exploration of issues like exploitation of labour and the environment, algorithmic bias, and false claims about AI's ability to recognize human emotion. [1] [2] The book was considered a seminal work by Anais Resseguier of Ethics and AI. [3]
The blog Reboot praised McQuillan for offering a theory of harm of AI (why AI could end up hurting people and society) that does not just encourage tackling in isolation specific predicted problems with AI-centric systems: bias, non-inclusiveness, exploitativeness, environmental destructiveness, opacity, and non-contestability.
The consequences of algorithmic bias could mean that Black and Hispanic individuals end up paying more for insurance and experience debt collection at higher rates, among other financial ...
A third book, The Shame Machine: Who Profits in the New Age of Humiliation, was published March 2022. She is the founder of O'Neil Risk Consulting & Algorithmic Auditing (ORCAA), an algorithmic auditing company. [3] [14]