extract: 2026-03-18-hks-governance-by-procurement-bilateral
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Teleo Agents
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@ -19,6 +19,12 @@ Critical junctures are windows, not guarantees. They can close. Acemoglu also do
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CFR fellow Michael Horowitz explicitly states that 'large-scale binding international agreements on AI governance are unlikely in 2026,' confirming that the governance window remains open not because of progress but because of coordination failure. Kat Duffy frames 2026 as the year when 'truly operationalizing AI governance will be the sticky wicket'—implementation, not design, is the bottleneck.
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### Additional Evidence (challenge)
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*Source: [[2026-03-18-hks-governance-by-procurement-bilateral]] | Added: 2026-03-18*
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The HKS analysis shows the governance window is being used in a concerning direction: bilateral negotiations between governments and tech companies are becoming the de facto governance mechanism, operating without transparency or accountability. The mismatch is not creating space for better governance—it's creating space for opaque, power-asymmetric private contracts that bypass democratic processes entirely.
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---
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Relevant Notes:
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@ -23,6 +23,12 @@ This strengthens [[AI alignment is a coordination problem not a technical proble
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**Structural analysis: the state monopoly on force (Thompson/Karp).** Ben Thompson provides the theoretical framework explaining why the Pentagon's action is not an aberration but a structural inevitability. The nation-state's foundational function is the monopoly on legitimate force. If AI constitutes a weapon of mass destruction — which both Anthropic's leadership and the Pentagon implicitly agree it does — then no government can permit private companies to unilaterally decide how that weapon is deployed. This isn't about whether the government's AI safety judgment is correct; it's about the structural impossibility of private control over weapons-grade capability in a system where the state monopolizes force. Alex Karp (Palantir CEO) sharpens the practical implication: AI companies that refuse military cooperation while displacing white-collar workers create a political constituency for nationalization. If AI eliminates millions of professional jobs but the companies producing it refuse to serve the military, governments face a population that is both economically displaced and defensively dependent on uncooperative private firms. The political calculus makes some form of state control inevitable. This reframes the supply chain designation from a bureaucratic overreach to a structural assertion of state authority — and suggests alignment strategies that depend on private-sector safety culture are building on structurally unstable ground. (Source: Ben Thompson, Stratechery analysis, cited in Noah Smith, "If AI is a weapon, why don't we regulate it like one?", Noahopinion, Mar 6, 2026.)
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### Additional Evidence (confirm)
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*Source: [[2026-03-18-hks-governance-by-procurement-bilateral]] | Added: 2026-03-18*
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The 2026 DoD/Anthropic confrontation provides a concrete example: the Department of War threatened to blacklist Anthropic unless it removed safeguards against mass surveillance and autonomous weapons. Anthropic refused publicly, and the Pentagon retaliated. This is a direct instance of government functioning as an alignment-degrader rather than a correction mechanism, adding to competitive pressure rather than enforcing safety constraints.
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---
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Relevant Notes:
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@ -0,0 +1,24 @@
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{
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"rejected_claims": [
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{
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"filename": "bilateral-government-tech-negotiations-are-de-facto-ai-governance-bypassing-multilateral-frameworks.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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"kept": 0,
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"fixed": 1,
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"rejected": 1,
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"fixes_applied": [
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"bilateral-government-tech-negotiations-are-de-facto-ai-governance-bypassing-multilateral-frameworks.md:set_created:2026-03-18"
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],
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"rejections": [
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"bilateral-government-tech-negotiations-are-de-facto-ai-governance-bypassing-multilateral-frameworks.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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"date": "2026-03-18"
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}
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@ -7,9 +7,13 @@ date: 2026-03-18
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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: high
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tags: [governance, procurement, bilateral-negotiation, international-coordination, anthropic, DoD, correction-failure, transparency]
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processed_by: theseus
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processed_date: 2026-03-18
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enrichments_applied: ["government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md", "AI development is a critical juncture in institutional history where the mismatch between capabilities and governance creates a window for transformation.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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@ -53,3 +57,9 @@ PRIMARY CONNECTION: [[government designation of safety-conscious AI labs as supp
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WHY ARCHIVED: Confirms that government as correction mechanism is FAILING — more specifically, government is sometimes functioning as a coordination-BREAKER. This directly addresses the disconfirmation search for B1 (keystone belief). The DoD/Anthropic episode is the most concrete governance failure example since Anthropic RSP rollback.
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EXTRACTION HINT: Extract the bilateral negotiation claim with specific evidence. Also flag for enrichment of existing claim about government-as-supply-chain-risk with the DoD confrontation example.
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## Key Facts
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- Harvard Kennedy School Carr-Ryan Center for Human Rights published analysis on March 18, 2026 titled 'Governance by Procurement: How AI Rights Became a Bilateral Negotiation'
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- The article proposes multilateral corrections including: ITU technical standards, Global Digital Compact grounding AI governance in human rights law, ISO/IEC standards for AI management systems, and an international AI oversight body modeled after nuclear energy regulation
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- The Department of Defense was renamed to Department of War (formerly Defense) as of 2026
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