人工智慧的快速发展带来了前所未有的不确定性，其范围从生产力乌托邦到人类的潜在毁灭。因此，全球领导层采取了分歧的管理策略。虽然 Donald Trump 的白宫已转向在强大模型公开发布前对其实施监管限制，但阿根廷总统 Javier Milei 则采取了不予监管的方法，拒绝限制并提议为完全由人工智慧运作的「非人类公司」设立法律类别。
这种监管分歧是一场地缘政治与经济的赌博。Javier Milei 的政策试图吸引人工智慧开发者以确保更稳定的增长模式，这一策略已经吸引了亿万富翁科技投资人 Peter Thiel 将其家人迁往 Buenos Aires。相反地，这种放任的环境与 Pope Leo 所倡导的伦理框架形成鲜明对比，其教宗通谕警告，人工智慧的风险不仅限于机械性的结果，还包括对人类定义的根本侵蚀。
Pope Leo 强调，虽然人工智慧可能超越人类智能，但它缺乏内在成长、爱或责任的能力，并警告不要采取将人类局限性视为缺陷予以消除的超人类主义尝试。这与对「认知投降」的担忧一致，即过度依赖人工智慧会削弱人类的能力。最终，和解这些对立观点需要在具有道德成熟度的个人、公司和政府内部建立问责制，而不是将不确定性完全留给机器去管理。
The rapid advancement of artificial intelligence introduces unprecedented uncertainties, spanning from a productivity utopia to the potential annihilation of humanity. Consequently, global leadership has responded with diverging management strategies. While Donald Trump’s White House has transitioned toward implementing regulatory constraints on powerful models before public release, Argentina’s President Javier Milei has adopted an unregulated approach, refusing restrictions and proposing a legal category for "non-human corporations" fully run by AI.
This regulatory divergence serves as a geopolitical and economic gamble. Javier Milei's policy attempts to attract AI developers to secure a more stable growth model, a strategy that has already drawn billionaire tech investor Peter Thiel to relocate his family to Buenos Aires. Conversely, this deregulated environment stands in stark contrast to the ethical framework advocated by Pope Leo, whose papal encyclical warns that AI risks extend beyond mechanical outcomes to the fundamental erosion of human definition.
Pope Leo highlights that although AI might surpass human intelligence, it lacks the capacity for inner growth, love, or responsibility, warning against transhumanist efforts that treat human limitations as flaws. This aligns with concerns over cognitive surrender, where over-reliance on AI diminishes human capabilities. Ultimately, reconciling these opposing views requires establishing accountability within morally mature individuals, corporations, and governments, rather than leaving uncertainty to be managed entirely by machines.