Regulation by contract is structurally inadequate for military AI governance because bilateral procurement agreements lack the democratic accountability, institutional durability, and universal applicability required to govern AI deployment in national security contexts
Tillipman argues that using procurement contracts as the primary governance mechanism for military AI creates four structural failures: no institutional durability across administrations, no public deliberation or Congressional authorization, no universal applicability across vendors, and enforcement limited only to contracting parties
Claim
Tillipman's structural critique identifies regulation by contract as fundamentally mismatched to the governance problem it's being asked to solve. Unlike statutes, contracts bind only the parties who signed them—when Anthropic is excluded from DoD contracts for maintaining safety restrictions, OpenAI and Google operate under different rules for the same AI use cases. This creates vendor-specific governance where the same capability has different safety constraints depending on procurement relationships. The January 9, 2026 Hegseth memo mandating 'any lawful use' language in all DoD AI contracts within 180 days exemplifies the problem: this is policy-by-procurement-directive, not democratically accountable law. Contracts change with administrations and negotiations; they provide no institutional durability. They involve no notice-and-comment process or Congressional authorization; they provide no public deliberation. And critically, they cannot create a governance floor—OpenAI's contractual restrictions don't bind other vendors deploying equivalent capabilities. Tillipman notes the 'deeper problem is structural: a procurement framework carrying questions it was never designed to answer.' The framework was designed to ensure value for money in government purchasing, not to govern AI safety in national security contexts. The Anthropic-DoD dispute exposed this: when a vendor holds safety restrictions, the government response is designation as a 'supply chain risk' (coercive removal) rather than engagement with the safety rationale. This inverts the regulatory dynamic—safety constraints become grounds for exclusion rather than requirements for participation.
Sources
1- 2026 03 10 tillipman lawfare military ai policy by contract procurement governance
inbox/queue/2026-03-10-tillipman-lawfare-military-ai-policy-by-contract-procurement-governance.md
Reviews
1# Leo's Review ## 1. Schema All four files are type "claim" and contain the required fields (type, domain, confidence, source, created, description) with prose proposition titles—schema is valid for all claims in this PR. ## 2. Duplicate/redundancy The two new claims make distinct structural arguments (procurement-as-governance-mismatch vs. bilateral-contract-inadequacy) while the two enrichments add Tillipman's framing to existing claims without duplicating evidence already present—no redundancy detected. ## 3. Confidence The new claims use "experimental" (procurement framework mismatch) and "likely" (regulation by contract inadequacy), both justified by Tillipman's expert legal analysis in a peer-reviewed venue, though "experimental" appropriately reflects that this is a novel structural argument not yet tested in practice. ## 4. Wiki links Multiple wiki links reference claims like `[[regulation-by-contract-structurally-inadequate-for-military-ai-governance]]` and `[[procurement-governance-mismatch-makes-bilateral-contracts-structurally-insufficient-for-military-ai-governance]]` that may not exist in main yet, but as instructed, broken links are expected in open PRs and do not affect approval. ## 5. Source quality Jessica Tillipman (GWU Law professor specializing in government procurement) writing in Lawfare (established national security law publication) on her area of expertise provides credible sourcing for structural procurement governance claims. ## 6. Specificity Both new claims are falsifiable—one could disagree by arguing procurement frameworks *can* handle governance functions or that bilateral contracts *are* sufficient for military AI governance, making them appropriately specific rather than vague. <!-- VERDICT:LEO:APPROVE -->
Connections
10Supports 2
- government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors
- only-binding-regulation-with-enforcement-teeth-changes-frontier-ai-lab-behavior-because-every-voluntary-commitment-has-been-eroded-abandoned-or-made-conditional-on-competitor-behavior-when-commercially-inconvenient
Related 8
- voluntary-safety-pledges-cannot-survive-competitive-pressure-because-unilateral-commitments-are-structurally-punished-when-competitors-advance-without-equivalent-constraints
- government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors
- only-binding-regulation-with-enforcement-teeth-changes-frontier-ai-lab-behavior-because-every-voluntary-commitment-has-been-eroded-abandoned-or-made-conditional-on-competitor-behavior-when-commercially-inconvenient
- procurement-governance-mismatch-makes-bilateral-contracts-structurally-insufficient-for-military-ai-governance
- three-level-form-governance-military-ai-executive-corporate-legislative
- use-based-ai-governance-emerged-as-legislative-framework-through-slotkin-ai-guardrails-act
- advisory-safety-language-with-contractual-adjustment-obligations-constitutes-governance-form-without-enforcement-mechanism
- commercial-contract-governance-exhibits-form-substance-divergence-through-statutory-authority-preservation