1.5 KiB
1.5 KiB
Paper: The Governance of Human-LLM Interaction: Safety Gating, Civility Steering, and Affective Default Lock-In
type: paper title: "The Governance of Human-LLM Interaction: Safety Gating, Civility Steering, and Affective Default Lock-In" authors: Manuele Reani, Hongjian Zhang, Hongyu Tian year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.08172 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-06 updated_at: 2026-06-06 status: queued relevance: high topics:
- agent-evaluation
- agent-safety
- computer-use
- multi-agent
- planning
- tool-use methods:
benchmarks:
models:
datasets:
- cs.HC
- cs.AI
- cs.CY related_concepts:
related_jobs:
related_experiments:
related_projects:
collection_score: 13 collection_queries: agent-evaluation
One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
Why Collected
- matched queries: agent-evaluation
- inferred topics: agent-evaluation, agent-safety, computer-use, multi-agent, planning, tool-use
- arXiv categories: cs.HC, cs.AI, cs.CY
- collection score: 13
Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from
queuedtoskimmedorsummarized?