It is time AI started to play by the rules | 人工智能是时候遵守规则了 - FT中文网
登录×
电子邮件/用户名
密码
记住我
请输入邮箱和密码进行绑定操作:
请输入手机号码,通过短信验证(目前仅支持中国大陆地区的手机号):
请您阅读我们的用户注册协议隐私权保护政策,点击下方按钮即视为您接受。
FT英语电台

It is time AI started to play by the rules
人工智能是时候遵守规则了

Creating regulations for something so fast-changing is difficult but that is no reason not to try
00:00

Late last year, California almost passed a law that would force makers of large artificial intelligence models to come clean about the potential for causing large-scale harms. It failed. Now, New York is trying on a law of its own. Such proposals have wrinkles, and risk slowing the pace of innovation. But they are still better than doing nothing.

The risks from AI have increased since California’s fumble last September. Chinese developer DeepSeek has shown that powerful models can be made on a shoestring. Engines capable of complex “reasoning” are supplanting those that simply spit out quick-fire answers. And perhaps the biggest shift: AI developers are furiously building “agents”, designed to carry out tasks and engage with other systems, with minimal human supervision.

undefined

How to create rules for something so fast-moving? Even deciding what to regulate is a challenge. Law firm BCLP has tracked hundreds of bills on everything from privacy to accidental discrimination. New York’s bill focuses on safety: large developers would have to create plans to reduce the risk that their models produce mass casualties or large financial losses, withhold models that present “unreasonable risk” and notify the state authorities within three days when an incident occurs.

Even with the best intentions, laws governing new technologies can end up ageing like milk. But as AI scales up, so do the concerns. A report published on Tuesday by a band of California AI luminaries outlines a few: for example, OpenAI’s o3 model outperforms 94 per cent of expert virologists. Evidence that a model could facilitate the production of chemical or nuclear weapons, it adds, is emerging in real time.

Disseminating dangerous information to bad actors is only one danger. Models’ adherence to users’ objectives is also raising concerns. Already, the California report notes mounting evidence of “alignment scheming”, where models follow orders in the lab, but not in the wild. Even the pope fears AI could pose a threat to “human dignity, justice and labour.”

Many AI boosters disagree, of course. Venture capital firm Andreessen Horowitz, a backer of OpenAI, argues rules should target users, not models. That lacks logic in a world where agents are designed to act with minimal user input.

Nor does Silicon Valley appear willing to meet in the middle. Andreessen has described the New York law as “stupid”. A lobby group it founded proposed New York’s law exempt any developer with $50bn or less of AI-specific revenue, Lex has learned. That would spare OpenAI, Meta and Google — in other words, everyone of substance.

undefined

Big Tech should reconsider this stance. Guardrails benefit investors too, and there is scant likelihood of meaningful federal rulemaking. As Lehman Brothers or AIG’s former shareholders can attest, backing a company that brings about systemic calamity is no fun.

The path ahead involves much horse-trading; New York governor Kathy Hochul has until the end of 2025 to request amendments to the state’s bill. Some Republicans in Congress have proposed blocking states from regulating AI altogether. And with every week that passes, AI reveals new powers. The regulatory landscape is a mess, but leaving it to chance will create one far bigger and harder to clean up.

版权声明:本文版权归FT中文网所有,未经允许任何单位或个人不得转载,复制或以任何其他方式使用本文全部或部分,侵权必究。

英国《金融时报》2025年EMBA排名显示毕业生收入上升

华盛顿大学-复旦项目位居榜首,而其他商科学位校友薪资下滑或持平。

你非得嚼那么响吗?饱受厌声症折磨的种种困境

鲜为人知的医疗疾病背后,正在浮现的奇异科学。

乌克兰在美国协助下打击俄罗斯能源设施

自今夏以来,特朗普政府一直支持基辅的行动,并协调推进削弱莫斯科的努力。

年轻人的时尚:转向激进右翼

新兴右翼运动的思想活力正在吸引年轻人。

阿富汗称在边境冲突中杀死巴基斯坦武装部队58名士兵

塔利班政府称在将近期喀布尔空袭归咎于伊斯兰堡后,实施了“一次报复行动”。

中国指责特朗普和美国加剧贸易战

北京指责华盛顿在上月贸易谈判后对中国企业施加新的限制。
设置字号×
最小
较小
默认
较大
最大
分享×