

#11963
Mentioned in 3 episodes
Automating Inequality
Book • 2018
Virginia Eubanks' "Automating Inequality" explores the ways in which automated systems, particularly those used in welfare and social services, perpetuate and exacerbate existing inequalities.
The book examines how algorithmic decision-making processes often disadvantage marginalized communities, leading to unfair and discriminatory outcomes.
Eubanks uses real-world examples to illustrate the impact of these systems on individuals' lives, highlighting the urgent need for greater transparency and accountability in algorithmic design and implementation.
The book challenges readers to consider the ethical implications of relying on automated systems for critical social decisions and advocates for more equitable and just approaches.
Ultimately, "Automating Inequality" serves as a powerful call to action, urging policymakers, technologists, and citizens to work together to create more just and equitable systems.
The book examines how algorithmic decision-making processes often disadvantage marginalized communities, leading to unfair and discriminatory outcomes.
Eubanks uses real-world examples to illustrate the impact of these systems on individuals' lives, highlighting the urgent need for greater transparency and accountability in algorithmic design and implementation.
The book challenges readers to consider the ethical implications of relying on automated systems for critical social decisions and advocates for more equitable and just approaches.
Ultimately, "Automating Inequality" serves as a powerful call to action, urging policymakers, technologists, and citizens to work together to create more just and equitable systems.
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Mentioned in 3 episodes
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as a book about data gathering and data valence being exercised through welfare.


Catherine Liu

70 snips
Doomscroll 23: Catherine Liu
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when discussing AI's impact on social services and low-income Americans.


Alex Hanna

11 snips
Episode 47: Hell is Other People's AI Hype, December 9 2024
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when discussing AI bias and the need for ethical considerations.

Iason Gabriel

11 snips
The Ethics of AI Assistants with Iason Gabriel
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as a great book about how algorithms can empower automating inequality.

Chris Wiggins

The power of data: ethics, politics, and public interest
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to illustrate how societal biases are reinforced by AI systems.

Hugo Bowne-Anderson

#60 Data Privacy in the Age of COVID-19
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when discussing how technology can worsen social services and policing.

Brendan James

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