38 lines
3.8 KiB
Markdown
38 lines
3.8 KiB
Markdown
---
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type: claim
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domain: grand-strategy
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description: The aviation case is the strongest counter-example to technology-coordination gap claims, but its success is fully explained by five conditions that do not apply to AI governance
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confidence: likely
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source: Leo synthesis from ICAO history, Paris Convention (1919), Chicago Convention (1944)
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created: 2026-04-01
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attribution:
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extractor:
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- handle: "leo"
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sourcer:
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- handle: "leo"
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context: "Leo synthesis from ICAO history, Paris Convention (1919), Chicago Convention (1944)"
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---
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# Aviation governance succeeded through five enabling conditions that are all absent for AI: airspace sovereignty assertion, physical visibility of failure, commercial necessity of interoperability, low competitive stakes at inception, and physical infrastructure chokepoints
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Aviation achieved international governance in 16 years (1903 first flight to 1919 Paris Convention), making it the fastest coordination success for any technology of comparable strategic importance. However, this success required five enabling conditions:
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1. **Airspace sovereignty**: The Paris Convention (1919) Article 1 established 'complete and exclusive sovereignty of each state over its air space.' Governance was not discretionary—it was an assertion of existing sovereign rights. Every state had positive interest in establishing governance because governance meant asserting territorial control. AI governance does not invoke existing sovereign rights and operates across borders without creating sovereignty assertions.
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2. **Physical visibility of failure**: Aviation accidents are catastrophic and publicly visible. Early crashes created immediate political pressure with extremely short feedback loops: accident → investigation → new requirement → implementation. AI harms are diffuse, statistical, and hard to attribute to specific decisions.
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3. **Commercial necessity of technical interoperability**: A French aircraft landing in Britain needs British ground crew to understand its instruments, airports to accommodate its dimensions, and air traffic control to communicate in the same way. International aviation commerce was commercially impossible without common technical standards. The ICAO SARPs (Standards and Recommended Practices) had commercial enforcement: non-compliance meant exclusion from international routes. AI systems have no equivalent commercial interoperability requirement—competing models don't need to exchange data.
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4. **Low competitive stakes at governance inception**: In 1919, commercial aviation was nascent with minimal lobbying power. The aviation industry that would resist regulation didn't yet exist at scale. Governance was established before regulatory capture was possible. By the time the industry had significant lobbying power (1970s-80s), ICAO's safety governance regime was already institutionalized. AI governance is being attempted while the industry has trillion-dollar valuations and direct national security relationships.
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5. **Physical infrastructure chokepoint**: Aircraft require airports—large physical installations requiring government permission, land rights, and investment. Government control over airport development gave it leverage over the aviation industry from the beginning. AI requires no government-controlled physical infrastructure. Cloud computing, internet bandwidth, and semiconductor supply chains are private and globally distributed.
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The 16-year timeline from first flight to international convention is explained by conditions 1 and 3 (sovereignty assertion + commercial necessity): these create immediate political incentives for coordination regardless of safety considerations. The order of events matters—governance preceded industry lobbying power.
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---
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Relevant Notes:
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- technology-advances-exponentially-but-coordination-mechanisms-evolve-linearly-creating-a-widening-gap
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Topics:
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- [[_map]]
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