
In "Race After Technology," Ruha Benjamin exposes how algorithms encode racism, creating a "New Jim Code" beneath tech's neutral facade. Required reading for understanding digital inequality, this groundbreaking work has become central to Black Lives Matter discussions on surveillance and systemic discrimination.
通过作者的声音感受这本书
将知识转化为引人入胜、富含实例的见解
快速捕捉核心观点,高效学习
以有趣互动的方式享受这本书
Imagine a beauty contest judged not by humans but by artificial intelligence-an algorithm selecting winners based on "objective" standards of beauty. When Beauty AI ran exactly this contest in 2016, the results were shocking: nearly all winners were white. This wasn't a glitch but a revelation of how machines learn to reproduce our existing prejudices. Welcome to the world of the "New Jim Code"-technologies that appear neutral or even beneficial while encoding and reproducing racial hierarchies. In an era where algorithms increasingly determine who gets jobs, loans, healthcare, and freedom, these digital systems aren't just reflecting our biases-they're amplifying them at unprecedented scale and speed. What makes this particularly troubling is how these technologies operate under a veneer of objectivity. When Facebook's algorithms reproduce racist patterns from users' behavior, or when Google's search results reinforce stereotypes, they're not neutral tools but active participants in perpetuating discrimination. The defining characteristic isn't just that they discriminate, but that they do so while claiming objectivity or even benevolence, often under the guise of efficiency and innovation. Why does this matter? Because Silicon Valley's "Move Fast and Break Things" ethos raises a critical question: what about the people broken in the process? When a woman with a tumor is denied a bank loan because an algorithm flags her as high risk, or when facial recognition systems consistently fail to identify people of color, we see how technology can encode human judgments and societal biases in ways that fundamentally reshape access and opportunity.
将《Race After Technology》的核心观点拆解为易于理解的要点,了解创新团队如何创造、协作和成长。
将《Race After Technology》提炼为快速记忆要点,突出坦诚、团队合作和创造力的关键原则。

通过生动的故事体验《Race After Technology》,将创新经验转化为令人难忘且可应用的精彩时刻。
随心提问,选择声音,共同创造真正与你产生共鸣的见解。

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