Files
agent/papers/items/2026-2602-11749-air-improving-agent-safety-through-incident-response.md
T
2026-07-08 12:25:30 +08:00

62 lines
1.3 KiB
Markdown

# Paper: AIR: Improving Agent Safety through Incident Response
---
type: paper
title: "AIR: Improving Agent Safety through Incident Response"
authors: Zibo Xiao, Jun Sun, Junjie Chen
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2602.11749
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-02-12
updated_at: 2026-06-20
status: queued
relevance: high
topics:
- agent-evaluation
- agent-safety
- computer-use
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.AI
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 15
collection_queries: agent-safety
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: agent-safety
- inferred topics: agent-evaluation, agent-safety, computer-use, tool-use
- arXiv categories: cs.AI
- collection score: 15
## 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 `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2602.11749