agent/papers/items/2026-2606-19899-measuring-biological-capabilities-and-risks-of-ai-agents.md

Paper: Measuring Biological Capabilities and Risks of AI Agents

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type: paper title: Measuring Biological Capabilities and Risks of AI Agents authors: Patricia Paskov, Jeffrey Lee, Kyle Brady, Alyssa Worland year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.19899 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-18 updated_at: 2026-06-18 status: queued relevance: high topics:

• agent-evaluation
• agent-safety
• computer-use
• rag
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.CY
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 18 collection_queries: agent-evaluation, agentic-ai, ai-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: agent-evaluation, agentic-ai, ai-agent
• inferred topics: agent-evaluation, agent-safety, computer-use, rag, tool-use, workflow-agent
• arXiv categories: cs.CY, cs.AI
• collection score: 18

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/2606.19899