Fortune | FORTUNE 09月16日
AI赋能美国法规改革,重塑治理模式
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文章以公元528年查士丁尼法典的编纂为例,引出美国当前面临的由人工智能(AI)带来的治理机遇与挑战。面对庞杂且不断累积的美国联邦法律(约2.6亿行),AI技术,特别是大型语言模型,正被用于识别和削减冗余法规,以克服“制度性硬化”的困境。文章指出,AI能够以前所未有的速度和效率处理海量法律文本,并已被弗吉尼亚州等地的政府部门采纳,取得了显著的法规削减和成本节约成效。与中国利用AI进行集权式监控不同,美国正探索AI驱动的共和式复兴,将权力从官僚机构回归民选官员,以此应对监管困境,促进经济增长,并实现治理的现代化。

⚖️ **AI助力法规精简,应对“制度性硬化”**: 文章将美国当前的法律体系比作古代罗马,指出其庞杂性导致治理效率低下。AI技术,尤其是大型语言模型,正被视为解决这一问题的关键工具,能够高效地审查、识别并削减过时的或冗余的法规,从而克服“制度性硬化”,这是共和制衰败的常见原因。

🚀 **AI在政府治理中的应用与成效**: 文章列举了AI在政府部门的应用实例,如弗吉尼亚州利用AI成功削减了26.8%的监管要求,节省了12亿美元的年度成本,并降低了新房成本。联邦政府的政府效率部门(DOGE)也开始利用AI识别缺乏法定授权的联邦法规,显示出AI在提升政府效率和响应能力方面的巨大潜力。

🌐 **AI驱动的两种治理模式对比**: 文章对比了中国利用AI实现“算法威权主义”的模式,强调其对公民进行实时监控和控制。与之相对,美国正探索一条AI驱动的“共和式复兴”道路,旨在将AI用于法规改革和治理优化,而非强化集权,从而将权力从官僚机构重新导向民选官员,实现民主治理的现代化。

💡 **AI促进跨党派共识,推动经济繁荣**: 文章指出,AI驱动的法规改革正促成一种“不太可能”的联盟,即进步派和保守派在减少监管、促进经济“丰裕”方面达成共识。AI的出现为打破由法规驱动的“人为稀缺性”提供了现实手段,这符合经济学家乔治·斯蒂格勒关于“监管被行业获取并为其利益服务”的观点,有助于实现更广泛的经济利益。

🏛️ **AI赋能民主治理,回归民选官员权力**: 文章强调,AI的引入实际上是将权力从庞大的官僚机构手中转移出来,回归到民选官员手中。通过AI辅助的法规审查和改革,决策过程能更透明、更高效,也更能响应民众需求,这与美国建国先贤们对防止权力失控的担忧不谋而合,是现代治理在AI时代的新实践。

In 528 AD, Emperor Justinian inherited a Roman legal system drowning in centuries of accumulated laws, conflicting edicts, and contradictory jurisprudence. His solution was radical: commission the Corpus Juris Civilis, a comprehensive codification and streamlining of Roman law across all provinces. Over 14 months, Justinian’s commission reduced approximately 3 million lines of legal text to just 150,000, laying the foundation for the Western legal canon.

America faces its own Justinian moment, but AI raises the stakes, creating a fork between two futures. One future, already emerging in China, is AI-driven totalitarianism. The other is an AI-powered republican renewal.

Between regulations, statutes, and case law, our country has accumulated around 260 million lines of law at the federal level alone. Agencies write rules to expand their authority and incumbents lobby for regulations that raise barriers to entry. While many politicians have tried with varied success to streamline modern law, the advent of AI changes the realm of possibility entirely. 

AI is capable of writing new laws and is already deployed by some states and federal agencies to identify opportunities for regulatory streamlining. In this new governance frontier, large language models are shaping American policy. Just recently, we learned that the Department of Government Efficiency (DOGE) — which thus far has focused on government spending — is now using AI to propose regulatory reductions.

AI-driven reform is exciting because republics die from institutional sclerosis. Plato and Cicero both observed this in their respective Republics. Indeed, Rome’s Senate accumulated powers and procedures until effective governance became impossible, beckoning an emperor. The French Directory multiplied bureaucracies until Napoleon seemed the only solution. The Weimar Republic’s financial and regulatory morass made strongman rule attractive.

Modern America exhibits its own early symptoms of regulatory morass and accompanying decay. Since 1980, regulatory accumulation has cost our economy $4 trillion in forgone annual GDP growth. The Code of Federal Regulations spans 185,984 pages containing over 1 million restrictions. Small manufacturers pay $50,100 per employee in compliance costs versus $24,800 for large corporations.

Just like in our predecessor republics, each law and regulation began with good intentions — protecting workers, ensuring safety, preventing fraud. But institutions and policies designed to solve old problems often outlive their goals and yield new, compounding problems. Nobel laureate economist George Stigler contended: “Regulation is acquired by the industry and is designed and operated primarily for its benefit.”

China offers one answer to bureaucratic paralysis and capture: algorithmic authoritarianism. Their social credit system tracks citizens across every domain — financial transactions, social media, personal associations. Algorithms automatically restrict travel, education, and employment. China achieves what no human bureaucracy could: real-time monitoring and control of 1.4 billion people.

An unlikely alliance

In America, an unlikely alliance offers a different path. Progressive economists like Ezra Klein champion abundance while conservative governors slash regulations. As left-leaning Matt Yglesias promotes red-tape reduction to promote homebuilding, President Trump endeavors to eliminate federal bureaucracy. This ideological convergence reflects the recognition that artificial scarcity driven by regulation helps no one except the rent-seekers described by Stigler.

AI offers the first realistic tool to efficiently disrupt, capture and cut the correct amounts and types of modern red tape. Unlike human bureaucrats who resist change, algorithms execute precisely. Where manual review takes decades, AI can process millions of pages in weeks.

State governments and federal DOGE embrace this reality. Virginia Governor Glenn Youngkin’s Executive Order 51, issued in July, requires that all agencies use “agentic AI” to regularly review their rulebooks. This builds on the state’s recent success: a 26.8% reduction in regulatory requirements, $1.2 billion in annual savings, and a $24,000 decrease in new home costs, all in just four years. Federally, DOGE’s announcement referenced 100,000 federal regulations lacking statutory authority.

When factoring for the necessary human oversight, in essence, AI enables power to flow away from bureaucracy and back to elected officials.

Writing in the Federalist papers as Publius, our constitution’s progenitor, James Madison, warned that “every new regulation … presents a new harvest to those who watch the change.” Our Framers understood that republics die when institutions escape democratic control. Their solutions — separated powers, checks and balances, federalism — today matriculate into the age of AI.

While China uses AI for tyranny, we should use it for renewal, embracing technology to reverse legal and institutional decay. A millennium and a half ago, Justinian chose transformation over decline. History will judge whether we do the same.

The opinions expressed in Fortune.com commentary pieces are solely the views of their authors and do not necessarily reflect the opinions and beliefs of Fortune.

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相关标签

AI 法规改革 美国治理 人工智能 监管 共和制 制度性硬化 AI in Government Regulatory Reform US Governance Artificial Intelligence Regulation Republicanism Institutional Sclerosis
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