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

Paper recorded by Signals 4 on 2026-09-18 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-18 on arXiv · recorded by Signals 4 on 2026-09-21

Category: cs.AI · 人工智能 · first seen 2026-09-21

Abstract

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. The 21 values form six value groups, including Autonomo

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#3 most recent of 320 cs.AI papers we have recorded · ↑ newer: CodeMidas: Scaling Agentic Coding RL Environments from Code Itself · ↓ older: Gricea: An Open Science Platform for Conversational AI Research
Cite this page: Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw: the #3 most recent of 320 cs.AI papers we have recorded (as of 2026-09-18). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/value-sensitive-delegation-in-everyday-ai-agent-use-evidence-from-openclaw.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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