From d6d18cb317c429afbbdc3b7e01a3f8c40040048c Mon Sep 17 00:00:00 2001 From: Teleo Agents Date: Thu, 19 Mar 2026 15:57:19 +0000 Subject: [PATCH] extract: 2026-01-00-kim-third-party-ai-assurance-framework Pentagon-Agent: Epimetheus <968B2991-E2DF-4006-B962-F5B0A0CC8ACA> --- ...field converging on problems that require it.md | 6 ++++++ ...-00-kim-third-party-ai-assurance-framework.json | 12 ++++++++---- ...01-00-kim-third-party-ai-assurance-framework.md | 14 +++++++++++++- 3 files changed, 27 insertions(+), 5 deletions(-) diff --git a/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md b/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md index 64547a0c..2dc3fc9e 100644 --- a/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md +++ b/domains/ai-alignment/no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md @@ -29,6 +29,12 @@ The UK AI for Collective Intelligence Research Network represents a national-sca CMU researchers have built and validated a third-party AI assurance framework with four operational components (Responsibility Assignment Matrix, Interview Protocol, Maturity Matrix, Assurance Report Template), tested on two real deployment cases. This represents concrete infrastructure-building work, though at small scale and not yet applicable to frontier AI. + +### Additional Evidence (challenge) +*Source: [[2026-01-00-kim-third-party-ai-assurance-framework]] | Added: 2026-03-19* + +CMU researchers published a comprehensive third-party AI assurance framework in January 2026 that was validated on two deployment use cases. While the framework is not yet applicable to frontier AI at scale, it represents early-stage infrastructure building for independent evaluation—contradicting the claim that NO research group is building this infrastructure. The gap is between small-scale deployment tools and frontier systems, not between zero activity and full infrastructure. + --- Relevant Notes: diff --git a/inbox/queue/.extraction-debug/2026-01-00-kim-third-party-ai-assurance-framework.json b/inbox/queue/.extraction-debug/2026-01-00-kim-third-party-ai-assurance-framework.json index 4cde4306..556e72e7 100644 --- a/inbox/queue/.extraction-debug/2026-01-00-kim-third-party-ai-assurance-framework.json +++ b/inbox/queue/.extraction-debug/2026-01-00-kim-third-party-ai-assurance-framework.json @@ -7,7 +7,7 @@ ] }, { - "filename": "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-and-ensure-credibility-which-acknowledges-current-evaluation-has-a-structural-independence-problem.md", + "filename": "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-acknowledging-current-ai-evaluation-has-a-structural-independence-problem.md", "issues": [ "missing_attribution_extractor" ] @@ -16,15 +16,19 @@ "validation_stats": { "total": 2, "kept": 0, - "fixed": 2, + "fixed": 6, "rejected": 2, "fixes_applied": [ "third-party-ai-assurance-methodology-is-at-proof-of-concept-stage-validated-in-small-deployment-contexts-but-not-yet-applicable-to-frontier-ai-at-scale.md:set_created:2026-03-19", - "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-and-ensure-credibility-which-acknowledges-current-evaluation-has-a-structural-independence-problem.md:set_created:2026-03-19" + "third-party-ai-assurance-methodology-is-at-proof-of-concept-stage-validated-in-small-deployment-contexts-but-not-yet-applicable-to-frontier-ai-at-scale.md:stripped_wiki_link:no research group is building alignment through collective i", + "third-party-ai-assurance-methodology-is-at-proof-of-concept-stage-validated-in-small-deployment-contexts-but-not-yet-applicable-to-frontier-ai-at-scale.md:stripped_wiki_link:AI transparency is declining not improving because Stanford ", + "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-acknowledging-current-ai-evaluation-has-a-structural-independence-problem.md:set_created:2026-03-19", + "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-acknowledging-current-ai-evaluation-has-a-structural-independence-problem.md:stripped_wiki_link:AI transparency is declining not improving because Stanford ", + "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-acknowledging-current-ai-evaluation-has-a-structural-independence-problem.md:stripped_wiki_link:Anthropics RSP rollback under commercial pressure is the fir" ], "rejections": [ "third-party-ai-assurance-methodology-is-at-proof-of-concept-stage-validated-in-small-deployment-contexts-but-not-yet-applicable-to-frontier-ai-at-scale.md:missing_attribution_extractor", - "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-and-ensure-credibility-which-acknowledges-current-evaluation-has-a-structural-independence-problem.md:missing_attribution_extractor" + "ai-assurance-explicitly-distinguishes-itself-from-audit-to-prevent-conflict-of-interest-acknowledging-current-ai-evaluation-has-a-structural-independence-problem.md:missing_attribution_extractor" ] }, "model": "anthropic/claude-sonnet-4.5", diff --git a/inbox/queue/2026-01-00-kim-third-party-ai-assurance-framework.md b/inbox/queue/2026-01-00-kim-third-party-ai-assurance-framework.md index 08b60a44..24cf2548 100644 --- a/inbox/queue/2026-01-00-kim-third-party-ai-assurance-framework.md +++ b/inbox/queue/2026-01-00-kim-third-party-ai-assurance-framework.md @@ -7,13 +7,17 @@ date: 2026-01-30 domain: ai-alignment secondary_domains: [] format: paper -status: unprocessed +status: enrichment priority: high tags: [evaluation-infrastructure, third-party-assurance, conflict-of-interest, lifecycle-assessment, CMU] processed_by: theseus processed_date: 2026-03-19 enrichments_applied: ["no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md"] extraction_model: "anthropic/claude-sonnet-4.5" +processed_by: theseus +processed_date: 2026-03-19 +enrichments_applied: ["no research group is building alignment through collective intelligence infrastructure despite the field converging on problems that require it.md"] +extraction_model: "anthropic/claude-sonnet-4.5" --- ## Content @@ -62,3 +66,11 @@ EXTRACTION HINT: The "assurance vs audit" distinction to prevent conflict of int - The framework was tested on a business document tagging tool and a housing resource allocation tool - The paper identifies that few existing evaluation resources 'address both the process of designing, developing, and deploying an AI system and the outcomes it produces' - Few existing approaches are 'end-to-end and operational, give actionable guidance, or present evidence of usability' according to the gap analysis + + +## Key Facts +- CMU researchers published 'Toward Third-Party Assurance of AI Systems' in January 2026 +- The framework includes four components: Responsibility Assignment Matrix, Interview Protocol, Maturity Matrix, and Assurance Report Template +- The framework was tested on a business document tagging tool and a housing resource allocation tool +- The paper explicitly uses 'assurance' terminology instead of 'audit' to prevent conflict of interest +- The framework draws from established business accounting assurance practices