AI RESEARCH
Agent-ValueBench: A Comprehensive Benchmark for Evaluating Agent Values
arXiv CS.AI
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ArXi:2605.10365v1 Announce Type: new Autonomous agents have rapidly matured as task executors and seen widespread deployment via harnesses such as OpenClaw. Safety concerns have rightly drawn growing research attention, and beneath them lie the values silently steering agent behavior. Existing value benchmarks, however, remain confined to LLMs, leaving agent values largely uncharted. From intuitive, empirical, and theoretical vantage points, we show that an agent's values diverge from those of its underlying LLM, and the agentic modality further.