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Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw

arXiv cs.AI / cs.LG / cs.CLby Renkai Ma ()1 min read2 · 1 read
AI summary · grok-4.7Summaries by Vani AI

Study of 73,093 Reddit posts finds OpenClaw users value oversight conditions as much as outputs.

Using Value Sensitive Design and LLM-assisted coding, researchers analyzed 73,093 first-person Reddit posts about the OpenClaw AI agent. They identified 21 human values in six groups, including dependable and affordable operation, bounded reach, reviewability, and equitable access. Values clustered around the conditions users set for a run rather than the agent's outputs. Reported values were usually met for delivered work but mostly unmet when users described supervision.

Key facts
  • 73,093 first-person Reddit posts about using OpenClaw
  • Twenty-one values grouped into six clusters
  • Values clustered on run conditions rather than outputs
  • Met for delivered work; mostly unmet during supervision
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From the original article

1 min read at arxiv.org

Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, we analyzed, with LLM assistance, 73,093 first-person Reddit posts about using OpenClaw, each for its human value, agent aspect, value fulfillment, and user outcome.

arXiv cs.AI / cs.LG / cs.CL

By Renkai Ma · arxiv.org

Read the full article at arXiv cs.AI / cs.LG / cs.CL

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.