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arXiv 2403.06332cs.CYcs.AI
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利用边缘:资本主义如何以少数群体为代价推动人工智能发展

Exploiting the Margin: How Capitalism Fuels AI at the Expense of Minoritized Groups

University of Cambridge(剑桥大学)

Nelson Colón Vargas

AI总结:

本文揭示资本主义与种族不公如何借AI延续剥削,分析零工经济、算法偏见及监控执法对少数群体的伤害,呼吁将社会正义与公平嵌入AI设计与政策核心。

摘要:

本文探讨了资本主义、种族不公与人工智能(AI)之间错综复杂的关系,认为AI是古老剥削形式在当代的载体。通过将历史上的种族与经济压迫模式与当前的AI实践联系起来,本研究阐明了现代技术如何延续并加深社会不平等。文章具体考察了AI如何通过零工经济中的低薪劳动、算法决策中偏见的持续存在,以及强化阻碍这些群体公平受益于技术进步的体制性障碍,从而卷入对边缘化社区的剥削。此外,本文还讨论了AI在扩展和加剧这些社区所面临的社会、经济和心理负担方面的作用,重点指出了AI在监控、执法和心理健康情境中被不当使用的问题。分析最后呼吁对AI的开发与部署方式进行变革性调整。本文倡导重新评估驱动AI创新的价值观,并推动一种将社会正义与公平融入技术设计和政策核心的方法。这一转变对于确保AI成为社会进步的工具、促进赋权与疗愈而非加深既有裂痕至关重要。

英文摘要:

This paper explores the intricate relationship between capitalism, racial injustice, and artificial intelligence (AI), arguing that AI acts as a contemporary vehicle for age-old forms of exploitation. By linking historical patterns of racial and economic oppression with current AI practices, this study illustrates how modern technology perpetuates and deepens societal inequalities. It specifically examines how AI is implicated in the exploitation of marginalized communities through underpaid labor in the gig economy, the perpetuation of biases in algorithmic decision-making, and the reinforcement of systemic barriers that prevent these groups from benefiting equitably from technological advances. Furthermore, the paper discusses the role of AI in extending and intensifying the social, economic, and psychological burdens faced by these communities, highlighting the problematic use of AI in surveillance, law enforcement, and mental health contexts. The analysis concludes with a call for transformative changes in how AI is developed and deployed. Advocating for a reevaluation of the values driving AI innovation, the paper promotes an approach that integrates social justice and equity into the core of technological design and policy. This shift is crucial for ensuring that AI serves as a tool for societal improvement, fostering empowerment and healing rather than deepening existing divides.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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