The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality

  • 类型:arxiv
  • 标识:2607.08495
  • 链接:http://arxiv.org/abs/2607.08495v1
  • 主分类:agent
  • 形态:method
  • 被引:0
  • 被引来源:Semantic Scholar + OpenAlex
  • S2被引:0
  • OpenAlex被引:0
  • 影响力被引:0
  • TLDR:Contextuality -- the degree to which an AI system autonomously accesses a user's accumulated knowledge capital -- is proposed as a dimension of AI-mediated inequality that complements, but is not reducible to, the Sharp et al. framework.
  • OpenAlex ID:W7167940491
  • OpenAlex DOI:10.48550/arxiv.2607.08495
  • DOI:10.48550/arxiv.2607.08495
  • DOI来源:OpenAlex
  • 开放获取:green
  • 开放获取链接:https://doi.org/10.48550/arxiv.2607.08495
  • OpenAlex更新:2026-07-19
  • 待LLM分类:否
  • 标题中文:上下文访问鸿沟:交互级架构作为 Agent 不平等的一个补充维度
  • TLDR中文:提出 Contextuality(上下文性)——即 AI 系统自主访问用户累积知识资本的程度——作为 AI 介导不平等的一个维度,补充但不可化约为 Sharp 等人的框架。
  • 来源文件
  • /inbox/tom/_candidates/2026-07-10-agent-rag-longcontext-candidates.json
  • [S2 enrich]
  • /inbox/tom/_candidates/2026-07-11-agent-rag-longcontext-candidates.json
  • /inbox/tom/_candidates/2026-07-12-agent-rag-longcontext-candidates.json
  • /inbox/tom/_candidates/2026-07-13-agent-rag-longcontext-candidates.json
  • [OpenAlex backfill]