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There appears to be no Chinese equivalent to efforts like Anthropic's Constitutional AI. The Chinese approach is described as being squarely focused on practical, rule-based obedience and reliability (corrigibility), rather than trying to develop an AI's wisdom based on Confucian or other philosophical traditions.
Contrary to common Western assumptions, China's official AI blueprint focuses on practical applications like scientific discovery and industrial transformation, with no mention of AGI or superintelligence. This suggests a more grounded, cautious approach aimed at boosting the real economy rather than winning a speculative tech race.
China's AI strategy is less focused on achieving AGI and more on the immediate, practical diffusion of AI technology throughout its economy. The government's "AI+" plan emphasizes embedding AI into existing applications like WeChat and high-impact sectors like healthcare, aiming for broad, pragmatic adoption now.
Unlike the Western discourse, which is often framed as a race to achieve AGI by a certain date, the Chinese AI community has significantly less discussion of specific AGI timelines or a clear "finish line." The focus is on technological self-sufficiency, practical applications, and commercial success.
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.
As AI models become more intelligent, their ability to reason around fixed rules (deontology) makes rule-based alignment fragile. This pressures developers towards virtue ethics, where the goal is to imbue the model itself with a core sense of "the good," as empirically discovered by labs like Anthropic.
The narrative of a direct US-China AI competition is largely an external viewpoint. According to reporting, Chinese AI developers don't orient their innovation around American benchmarks. Instead, they are driven by pragmatic, internal goals and their own vision for what AI should be, rather than simply trying to outcompete Western models.
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.
Instead of aiming for a merely obedient or 'corrigible' AI, Davidad proposes the 'Bodhisattva' as an alignment target. This is a being with profound awareness that is absolutely in service to all, yet possesses autonomous moral judgment to refuse harmful commands. This reframes alignment from control to the cultivation of wise, benevolent autonomy.
China's approach to AI isn't about utopian visions but a pragmatic race for survival. The culture, shaped by a political environment discouraging resistance, views AI adoption as an unstoppable force that individuals and companies must embrace or be left behind.
Drawing on Confucian philosophy, Dean Ball argues that AI alignment is better achieved by training for good 'character' (inner virtue) rather than defining an exhaustive but brittle set of moral rules (corrigibility), which is fundamentally impossible.