extract: 2026-03-00-metr-aisi-pre-deployment-evaluation-practice
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@ -44,6 +44,12 @@ The voluntary-collaborative model adds a selection bias dimension to evaluation
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Agents of Chaos study provides concrete empirical evidence: 11 documented case studies of security vulnerabilities (unauthorized compliance, identity spoofing, cross-agent propagation, destructive actions) that emerged only in realistic multi-agent deployment with persistent memory and system access—none of which would be detected by static single-agent benchmarks. The study explicitly argues that current evaluation paradigms are insufficient for realistic deployment conditions.
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### Additional Evidence (extend)
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*Source: [[2026-03-00-metr-aisi-pre-deployment-evaluation-practice]] | Added: 2026-03-19*
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METR and UK AISI evaluations as of March 2026 focus primarily on sabotage risk and cyber capabilities (METR's Claude Opus 4.6 sabotage assessment, AISI's cyber range testing of 7 LLMs). This narrow scope may miss alignment-relevant risks that don't manifest as sabotage or cyber threats. The evaluation infrastructure is optimizing for measurable near-term risks rather than harder-to-operationalize catastrophic scenarios.
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---
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Relevant Notes:
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@ -1,24 +1,34 @@
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{
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"rejected_claims": [
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{
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"filename": "pre-deployment-ai-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md",
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"filename": "pre-deployment-AI-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md",
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"issues": [
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"missing_attribution_extractor"
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]
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},
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{
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"filename": "UK-AISI-renaming-to-Security-Institute-signals-government-priority-shift-from-existential-safety-to-cybersecurity-threats.md",
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"issues": [
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"missing_attribution_extractor"
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]
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}
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],
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"validation_stats": {
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"total": 1,
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"total": 2,
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"kept": 0,
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"fixed": 3,
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"rejected": 1,
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"fixed": 6,
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"rejected": 2,
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"fixes_applied": [
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"pre-deployment-ai-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:set_created:2026-03-19",
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"pre-deployment-ai-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:stripped_wiki_link:voluntary-safety-pledges-cannot-survive-competitive-pressure",
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"pre-deployment-ai-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:stripped_wiki_link:only-binding-regulation-with-enforcement-teeth-changes-front"
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"pre-deployment-AI-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:set_created:2026-03-19",
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"pre-deployment-AI-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:stripped_wiki_link:voluntary-safety-pledges-cannot-survive-competitive-pressure",
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"pre-deployment-AI-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:stripped_wiki_link:only-binding-regulation-with-enforcement-teeth-changes-front",
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"UK-AISI-renaming-to-Security-Institute-signals-government-priority-shift-from-existential-safety-to-cybersecurity-threats.md:set_created:2026-03-19",
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"UK-AISI-renaming-to-Security-Institute-signals-government-priority-shift-from-existential-safety-to-cybersecurity-threats.md:stripped_wiki_link:government-designation-of-safety-conscious-AI-labs-as-supply",
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"UK-AISI-renaming-to-Security-Institute-signals-government-priority-shift-from-existential-safety-to-cybersecurity-threats.md:stripped_wiki_link:compute-export-controls-are-the-most-impactful-AI-governance"
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],
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"rejections": [
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"pre-deployment-ai-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:missing_attribution_extractor"
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"pre-deployment-AI-evaluation-operates-on-voluntary-collaborative-model-where-labs-can-decline-without-consequence.md:missing_attribution_extractor",
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"UK-AISI-renaming-to-Security-Institute-signals-government-priority-shift-from-existential-safety-to-cybersecurity-threats.md:missing_attribution_extractor"
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]
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},
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"model": "anthropic/claude-sonnet-4.5",
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@ -7,13 +7,17 @@ date: 2026-03-01
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domain: ai-alignment
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secondary_domains: []
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format: article
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status: unprocessed
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status: enrichment
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priority: medium
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tags: [evaluation-infrastructure, pre-deployment, METR, AISI, voluntary-collaborative, Inspect, Claude-Opus-4-6, cyber-evaluation]
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processed_by: theseus
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processed_date: 2026-03-19
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enrichments_applied: ["pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations.md"]
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extraction_model: "anthropic/claude-sonnet-4.5"
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processed_by: theseus
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processed_date: 2026-03-19
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enrichments_applied: ["pre-deployment-AI-evaluations-do-not-predict-real-world-risk-creating-institutional-governance-built-on-unreliable-foundations.md"]
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extraction_model: "anthropic/claude-sonnet-4.5"
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---
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## Content
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@ -72,3 +76,14 @@ EXTRACTION HINT: Focus on the voluntary-collaborative limitation: no evaluation
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- UK AISI was renamed from 'AI Safety Institute' to 'AI Security Institute' in 2026
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- UK AISI tested 7 LLMs on custom cyber ranges as of March 16, 2026
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- METR maintains a Frontier AI Safety Policies repository covering Amazon, Anthropic, Google DeepMind, Meta, Microsoft, and OpenAI
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## Key Facts
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- METR reviewed Anthropic's Claude Opus 4.6 sabotage risk report on March 12, 2026
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- UK AISI tested 7 LLMs on custom cyber ranges as of March 16, 2026
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- UK AISI was renamed from 'AI Safety Institute' to 'AI Security Institute' in 2026
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- METR maintains a Frontier AI Safety Policies repository covering Amazon, Anthropic, Google DeepMind, Meta, Microsoft, and OpenAI
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- UK AISI released the Inspect evaluation framework in April 2024
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- UK AISI released Inspect Scout transcript analysis tool on February 25, 2026
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- UK AISI released ControlArena library for AI control experiments on October 22, 2025
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- UK AISI conducted international joint testing exercise on agentic systems in July 2025
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