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While China's official doctrine on responsible military AI appears similar to that of the U.S., the real concern stems from its political structure. An autocratic regime's incentive to centralize power by removing human decision-makers could lead it to deploy unsafe AI systems, regardless of official policy.

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The dispute highlights a core tension for democracies: how to compete with authoritarian states like China, which can command its AI labs without debate. The pressure to maintain a military edge may force the U.S. to adopt more coercive policies towards its own private tech companies, compromising the free market principles it aims to defend.

Military bureaucracy and resistance to new tech may create a "slow, slow, fast" adoption pattern. This prevents the development of a robust vetting culture, making institutions vulnerable when competitive pressure suddenly forces rapid, less-careful deployment of powerful AI systems.

Debates over systems like Israel's 'Lavender' often focus on the AI. However, the more critical issue may be the human-defined 'rules of engagement'—specifically, what level of algorithmic confidence (e.g., 55% accuracy) leadership deems acceptable to authorize a strike. This is a policy problem, not just a technology one.

To prevent a scenario where 'the algorithm did it,' the U.S. military relies on the legal principle of 'human responsibility for the use of force.' This ensures a specific commander is always accountable for deploying any weapon, autonomous or not, sidestepping the accountability gap that worries AI ethicists.

While fears focus on tactical "killer robots," the more plausible danger is automation bias at the strategic level. Senior leaders, lacking deep technical understanding, might overly trust AI-generated war plans, leading to catastrophic miscalculations about a war's ease or outcome.

In China, academics have significant influence on policymaking, partly due to a cultural tradition that highly values scholars. Experts deeply concerned about existential AI risks have briefed the highest levels of government, suggesting that policy may be less susceptible to capture by commercial tech interests compared to the West.

The argument that the U.S. must race to build superintelligence before China is flawed. The Chinese Communist Party's primary goal is control. An uncontrollable AI poses a direct existential threat to their power, making them more likely to heavily regulate or halt its development rather than recklessly pursue it.

When a state's power derives from AI rather than human labor, its dependence on its citizens diminishes. This creates a dangerous political risk, as the government loses the incentive to serve the populace, potentially leading to authoritarian regimes that are immune to popular revolt.

The Pentagon labeled Anthropic a "supply chain risk" not due to a technical flaw, but because it dislikes the AI's embedded "constitution" and safety guardrails. This reveals a fundamental clash over who controls the values and behaviors of AI used in defense, turning a tech partnership into a political battle.

The technical success of AI alignment, which aims to make AI systems perfectly follow human intentions, inadvertently creates the ultimate tool for authoritarianism. An army of 'extremely obedient employees that will never question their orders' is exactly what a regime would want for mass surveillance or suppressing dissent, raising the crucial question of *who* the AI should be aligned with.

The True Risk of China's Military AI Is Its Autocratic System, Not Its Stated Doctrine | RiffOn