凯西·奥尼尔的《算法霸权》深刻揭示了大数据算法模型在当代社会广泛应用所隐藏的系统性风险。本书批判性地提出了“数学杀伤性武器” (Weapons of Math Destruction, WMDs) 这一核心概念, 其特征表现为不透明性、规模化和破坏性。作者通过详实的案例剖析, 论证了此类算法在“效率”与“客观性”伪装下, 如何因数据偏差、模型设计缺陷及反馈循环机制, 导致歧视固化、弱势群体受损、社会不公加剧, 甚至侵蚀民主根基。本书的核心价值在于其犀利的批判视角、对算法伦理的系统反思及推动算法治理与公平的警世作用。

Kathy O' Neil' s Weapons of Math Destruction exposes the systemic risks concealed within the widespread application of big data algorithmic models in contemporary society. The book critically introduces the core concept of “Weapons of Math Destruction” (WMDs) , characterized by their opacity, scale, and destructive potential. Through meticulous case analyses, the author demonstrates how these algorithms, operating under the guise of “efficiency” and “objectivity, ” leverage data biases, flaws in model design, and feedback loop mechanisms. This results in the entrenchment of discrimination, harm inflicted upon vulnerable groups, exacerbation of social injustice, and even the erosion of democratic foundations. The core value of this work lies in its incisive critical perspective, systematic reflection on algorithmic ethics, and its cautionary warning urging the advancement of algorithmic governance and fairness.