论文/arXiv 2608.24767·17 天前

塑造面向 Black Communities 的生成式 AI 未来：公共话语与实证学术研究的框架分析

研究通过系统文献综述与媒体话语框架分析，考察 genAI 对 Black communities 的影响及话语错位。

AI 整理

• 数据与采集
• 端侧部署
• 评测与安全

原文链接：Shaping the Future of Generative AI for Black Communities: A Frame Analysis of Public Discourse and Empirical Scholarly Research（arXiv 2608.24767 · 发布日期：2026-10-11）

Shaping the Future of Generative AI for Black Communities: A Frame Analysis of Public Discourse and Empirical Scholarly Research

研究通过系统文献综述与媒体话语框架分析，考察 genAI 对 Black communities 的影响及话语错位。

核心要点

• 动机是理解 genAI 嵌入多领域后，对边缘化群体尤其 Black communities 的影响与参与。
• 方法结合91篇实证论文的系统文献综述和28项公共资源的媒体话语框架分析。
• 结果显示学术研究偏重技术性偏见检测，公共话语更多归因于历史与系统性力量。
• 作者主张将框架分析作为 AI 伦理方法，用于揭示技术评估所遮蔽的问题。

验证范围与局限：验证范围为91篇实证论文和28项公共资源的分析。

英文摘要 (Abstract)

As generative AI (genAI) systems become embedded in education, employment, healthcare, and creative industries, the impact and engagement among marginalized groups have become both a widespread discourse and a focus in scholarly research. As a starting point, we examine public discourse and empirical research to explore the impact of genAI systems on Black communities. We conducted a systematic literature review (SLR) of 91 empirical papers alongside a media discourse frame analysis of 28 public resources, applying Entman's framing theory to map how each corpus defines problems, attributes causes, and proposes treatments. Our SLR reveals that scholarly research concentrates heavily on technical bias detection, reducing Blackness to measurable variables rather than engaging with cultural practices, structural conditions, or Black knowledge systems. Our frame analysis reveals that public discourse attributes genAI-related harm to historical and systemic forces, while scholarly research stops its causal accounts at the dataset and its treatment recommendations at technical reform. We demonstrate that this misalignment is structurally produced: anti-Blackness operates simultaneously across both registers, generating a shared evacuation of Black epistemic agency. We argue for frame analysis as an AI ethics methodology capable of surfacing what technical evaluation forecloses.

作者：Angela D. R. Smith, Gabriella Thompson, Christopher L. Dancy, Mark Díaz, Seyi Olojo, Christina Harrington

来源

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1. arXiv 2608.24767：Shaping the Future of Generative AI for Black Communities: A Frame Analysis of Public Discourse and Empirical Scholarly Research访问 2026-10-21