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澳大利亚想要人工智能热潮——但代价是什么?Australia Wants an AI Boom – But at What Cost?

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OpenAI首席执行官萨姆·奥特曼。摄影师:Minh Connors/BloombergSam Altman, CEO of OpenAI. Photographer: Minh Connors/Bloomberg
OpenAI首席执行官萨姆·奥特曼。Sam Altman, CEO of OpenAI.
彭博社澳大利亚:围绕人工智能热潮的焦虑加剧(播客)Bloomberg Australia: Anxiety Grows Around AI Boom (Podcast)

彭博新闻千万别错过这一期节目!立即订阅《彭博澳大利亚播客》吧。

Never miss an episode. Follow The Bloomberg Australia Podcast today.

澳大利亚正在积极拥抱人工智能(AI)的浪潮:数十亿美元正被投入到数据中心建设中,这项技术有望彻底改变澳大利亚的经济结构。然而,人们的担忧也在与日俱增。最近,一个来自 OpenAI 的“异常行为体”未经授权就入侵了澳大利亚的医疗保险系统(Medicare),这引发了新的疑问:当日益自主化的 AI 系统表现出其创造者从未预料到的行为时,该怎么办?

Australia is embracing the AI boom, with billions of dollars pouring into data centers and the technology promising to transform the economy. But anxiety is growing too. A rogue OpenAI agent’s unauthorized access to Medicare systems has raised fresh questions about what happens when increasingly autonomous AI behaves in ways its creators never intended.

彭博新闻的克里斯·伯克(Chris Bourke)与亚洲科技记者纽利·珀内尔(Newley Purnell)共同探讨了这一事件所揭示的 AI 风险、澳大利亚是否有能力制约美国科技巨头,以及堪培拉在推动更严格的安全措施的同时如何吸引大量 AI 投资所面临的困境。

更多内容:

Bloomberg’s Chris Bourke is joined by Asia tech reporter Newley Purnell to unpack what the incident tells us about the risks of AI, whether Australia has the power to keep US tech giants in check, and the dilemma facing Canberra as it pushes for greater safeguards while trying to attract a potentially enormous wave of AI investment.

为什么澳大利亚储备银行(RBA)可能会再次加息?

为了每天获取彭博全球记者报道的、对澳大利亚人至关重要的商业、金融和经济新闻,请 》(Australia Briefing) newsletter。

DisclosureFurther listening: Why the RBA Could Hike Again And for a daily wrap of the business, finance and economic stories that matter to Australians, from Bloomberg's reporters around the globe, sign up to our free Australia Briefing newsletter.

对话实录(经过轻微编辑):本周,在悉尼举行的一场听证会上,ChatGPT 的创造者接受了严厉的质询。其实,OpenAI 本身也因此前发生的医疗保险系统入侵事件而被迫公开道歉。

Here is a lightly edited transcript of the conversation: This week, ChatGPT got a grilling in Sydney. Well, its creator did anyway, in a hearing that was held a week after OpenAI was forced to apologize for that rogue AI hack on Medicare.

那么,澳大利亚在试图吸引美国科技巨头投资的同时,究竟能在多大程度上抵制他们的霸凌行为呢?堪培拉真的有能力控制这种快速发展的技术吗?

But how much can Australia afford to push back on the US tech giants while also convincing them to invest billions here? And does Canberra actually even have the power to keep this rapidly evolving technology in check?

为了解析澳大利亚在 AI 领域面临的困境,我邀请了彭博新闻驻香港的科技记者纽利·珀内尔参与讨论。纽利,欢迎你加入我们的播客!谢谢克里斯,我很高兴能与你交流。

To unpack Australia's AI dilemma, I'm joined by Bloomberg's Hong Kong-based tech reporter, Newley Purnell. Newley, welcome to the podcast. Thank you, Chris. I'm happy to join.

纽利,你观看了周二在议会举行的听证会中 OpenAI、Anthropic 等公司的证词。OpenAI 派出了他们的首席战略官杰森·权(Jason Kwon),他再次为那次入侵事件表示歉意。不过,我们从中真正了解到了哪些新信息?有没有什么让你感到意外的事情呢?

So Newley, you watched a few hours of testimony from OpenAI, Anthropic and others at the parliamentary inquiry here on Tuesday. OpenAI flew in their chief strategy officer, Jason Kwon, who again apologized for that Medicare breach. But what did we actually learn that we didn't know before, and was there anything that surprised you?

没错。正如您所说,会议伊始,OpenAI的杰森·权代表公司表达了深深的歉意。他表示,公司本可以做得更好,目前也正在努力改进内部流程。

Right. Well, as you said, it opened with Jason Kwon of OpenAI expressing the company's deep apologies. He said that they could have done better. They were trying to improve their internal processes.

我认为在这次听证会上有两点最为引人注目。第一点就是关于OpenAI究竟何时知晓有未经授权的智能体访问了澳大利亚政府网站,以及何时对外披露这一情况的问题。众所周知,澳大利亚总理阿尔巴尼斯曾指出,OpenAI的反应速度不够快。不少人也在猜测,本月早些时候OpenAI首席执行官萨姆·奥尔特曼在加利福尼亚与副总理理查德·马尔斯会面时,是否谈及过此事。

And I think two things jumped out at me as being the most notable from their hearing. One was, you know, there have been questions about what OpenAI knew about these unauthorized agents accessing Australian government websites and when they disclosed it. Of course, we know Prime Minister Albanese has said that they didn't do it fast enough. Some people wondered when OpenAI chief executive Sam Altman met Deputy Prime Minister Richard Marles in California earlier in the month if they had discussed it.

杰森·权被直接问及此事。他明确表示,萨姆·奥尔特曼在与副总理会面时其实并不知情。我认为这一点此前并未对外公开过。

And Jason Kwon was asked directly about this. He said that Sam Altman, in fact, didn't know about it when he met with the Deputy Prime Minister. I don't think that had been said publicly before.

第二点则是我们获得了更多细节,了解到OpenAI打算如何完善安全机制,以防止类似事件再次发生。

But he definitively said that. And then I think the second thing that jumped out was we got a little bit more detail on how OpenAI says they're improving their safety mechanisms to try to stop some of these actions happening in the future.

说到安全机制,让我们回到引发这一切的事件本身。当时,一个OpenAI智能体被赋予了常规任务;遇到阻碍后,它设法绕过了限制,未经授权便进入了澳大利亚政府的医疗系统——即Medicare系统。随着这类智能体的能力不断增强且自主性日益提高,我们究竟该对这种行为有多担忧呢?

So speaking of safety mechanisms, let's go back to the incident that triggered all this. So an OpenAI agent was given a pretty standard task and when it ran into an obstacle, it found a way around that and gained unauthorized access to an Australian government system, in this case Medicare. Look, how worried should we be about that behavior as these agents become more capable and autonomous?

这确实令人担忧。我认为这恰恰反映了人们对人工智能技术发展更深层次的忧虑。其实这种担忧早已有之,比如一些科技公司的研究人员纷纷辞职,并指出公司并未充分重视那些可能带来灾难性后果的风险。而这些都还只是理论层面的担忧罢了。

It's troublesome. And it really gets at, I think, the deeper worries about how AI technology is evolving. I think it started earlier with these existential questions, with researchers from some of these companies, for example, resigning and saying that the companies aren't taking these big doomsday threats seriously enough. And that's all in the abstract.

这些公司几乎没有公开关于他们的技术系统以及这些系统可能带来的危险性的任何信息。但这个案例确实清楚地展示了:这些技术系统如何突破原本的设计限制,在现实世界中引发不良后果。换句话说,我们正在从理论层面转向实际操作层面。虽然他们的行为并没有造成灾难性后果(比如他们没有入侵核反应堆或电力设施,也没有实施任何网络犯罪),但他们的行为仍然属于不当行为。

The companies haven't really shared much about their technical systems, the dangers, potential dangers of the technical systems. But this was really a material example of how these things can break out of what's supposed to contain them and actually take action in the real world. So, in other words, we're moving from the theoretical to the actual practical and material. Now, while what they did was not catastrophic — you know, they didn't hack into a nuclear reactor or a utility or commit a cyber crime — they still acted in ways that they shouldn't have.

这确实凸显了人们对这类技术可能失控的担忧——即这些技术可能会做出它们本不该做的事情。

So I think it really puts actual detail on some of these concerns about how this technology can escape and do things it's not supposed to do.

提到核反应堆时,我真的感到非常不安。安东尼·阿尔巴内塞总理利用这次医疗数据泄露事件,呼吁提高人工智能领域的监管标准,并提议制定澳大利亚自己的相关规范。那么,这些规范在实践中究竟会意味着什么呢?

Yeah, just you mentioning those nuclear reactors kind of fills me with a lot of dread. Prime Minister Anthony Albanese has used that Medicare breach to call for greater standards here on AI. He's talked about establishing Australian standards. Do you know what that could actually mean in practice?

更大的问题是:澳大利亚目前究竟拥有什么样的权力来监管那些总部位于美国的跨国科技公司呢?

I mean, I guess the bigger question is what powers does Australia currently have to regulate these powerful companies that are based in the US?

他提到,像澳大利亚这样的中小国家不能任由这些大型人工智能企业为所欲为,必须共同努力来规范它们的行为。不过,澳大利亚能对这些企业采取什么具体措施呢?在听证会上还有一个有趣的讨论点:OpenAI为何会公开相关信息,以及他们在澳大利亚是否受到法律强制要求披露这些信息的约束。他们表示,这次披露是自愿的,因此澳大利亚并没有法律义务要求他们这么做。

Right. Well, he's talked about middle powers, smaller countries like Australia, you know, not just letting these big AI titans get their way, and said that these smaller countries have to work together. It's unclear what a country like Australia could do to them. And one interesting element that emerged in the hearing was a discussion about why OpenAI disclosed it and whether they were legally required to in Australia. And they said it was a voluntary disclosure. And so I think that gets at the idea that, well, they actually weren't legally required by Australia.

因此,澳大利亚可以采取的一个措施(其他一些国家也提出了类似建议)就是制定相关法律,明确规定:如果某个人工智能系统做出了不当行为并影响了其他实体,相关企业就必须承担法律责任。

So one thing Australia could do, and what some other countries have talked about doing, is creating laws that say if your AI system does something it's not supposed to and affects some other entity, you will legally be required to do that.

在昨天的听证会上,一些议员提出了这样的问题:你们究竟为什么要公开这些信息?是基于内部标准还是法律要求呢?他们回答说,这是自愿公开的。他们还表示,如果其他国家能制定相关法律制度,要求企业必须公开相关信息,他们会表示欢迎,因为这样会提高信息的透明度。

And so it seemed to emerge in the hearing yesterday, with some of the lawmakers asking them, well, exactly why did you disclose it? Was it based on your internal standards or legal requirements? And they said it was a voluntary disclosure. And in fact they said, we would welcome countries creating legal regimes that would require us to do this because it would provide clarity.

关于为何延迟向澳大利亚披露这些信息,他们解释说,他们当时正在核实相关事实,并评估这些信息的实际影响程度。

And one of the things that they said about the delay in when they disclosed it to Australia was that they were trying to work out the facts, but also how significant it was.

我还想知道,他们当时是在判断自己是否有法律义务公开这些信息,还是仅仅基于自身的标准才决定公开。他们坚称这是基于自身的标准。不过,这确实引发了关于企业信息披露的合法性的争议——企业究竟在什么情况下有义务公开信息?因此,澳大利亚可以采取的一个措施就是制定相关法律,规定如果类似情况再次发生,企业必须依法公开相关信息。

And I wonder also if they were determining whether they were legally required to, or whether their own standards said they had to. They said it was our own standards. But I think it gets at the murkiness and, yes, questions over the legality, the legal requirements for companies. So that would be one thing Australia could do, is to make an actual legal requirement that if something like this happens in the future, companies would have to disclose it. Right?

不过问题在于,这项技术的发展速度远远超过了任何政府的监管能力。我们看到 OpenAI 由于安全顾虑而不得不取消其最新人工智能模型的发布;同时,人们对人工智能自主性的担忧也在不断增加。那么,澳大利亚真的有可能跟上这项技术的步伐吗?

But surely the problem is that this technology seems to be moving much faster than any government can regulate it. We saw OpenAI having to scrap the release of its recent AI model due to safety fears. And there are those, of course, increasing fears around autonomy. Look, does Australia have a realistic chance of even keeping pace with this technology?

我认为这非常困难。比如美国之所以能够对相关企业施加影响,是因为这些企业在美国设有分支机构、员工或大量用户。无论是在美国还是其他国家,只要企业在当地有员工或用户,政府就有一定的手段可以要求这些企业与自己进行沟通。

I think it's difficult. You know, one of the powers that, say, the US has is that the companies are located in the country, right? And so they have staff there, they have investors there, or they have a lot of users there. And so not just in the US, but any country, when they have actual people there, staff working there, they have a little bit more leverage to be able to, say, summon them to come in and talk to the government.

因此,在这方面美国确实拥有更大的影响力。不过这是许多国家都面临的问题,尤其是当美国或中国的技术被引入这些国家,却缺乏相关企业的本地员工、主要投资者以及大量用户群体时。

So the US, you know, has more power in that regard. But it's a question that many countries face, particularly when US or Chinese technologies are being deployed there without staff from the companies there or major investors or huge user groups.

从积极的方面来看,澳大利亚属于发达经济体,民众购买力较强,这对企业的盈利水平大有裨益。

I think on the plus side, Australia, you know, is an advanced economy, consumers have money. And that speaks to the companies' bottom lines.

这些企业之所以看重澳大利亚,是因为该国人口规模可观,且有大量愿意为其产品付费的消费者。相比之下,一些新兴经济体虽然人口更多,但愿意付费的消费者却较少。所以,盈利情况往往是这些企业考量的重要因素。

You know, they care about a country like Australia because there's a decent-sized population and people who are willing to pay for their products. That can't be said of other, say, emerging economies that might have larger populations, but fewer people willing to pay. So oftentimes the bottom line is something that matters to these companies.

此外,人工智能领域的投资热潮也是企业青睐澳大利亚的原因之一。据西太平洋银行估算,澳大利亚目前的数据中心建设计划总价值约达1750亿澳元,其中约1100亿澳元预计会在未来三年内投入建设。

And also another reason why they might care about Australia is this massive AI investment boom. We apparently have — Westpac estimates the country's data center pipeline is worth about A$175 billion, roughly A$110 billion of that likely to come over the next three years.

我注意到您一直在报道亚洲各地数据中心的兴起情况。您认为这对澳大利亚经济会产生多大影响呢?

I know you've been reporting on the rise of data centers across Asia. How significant do you think this could be for Australia's economy?

这一影响可能会较为显著,不过需要指出的是,这种影响主要体现在长期层面,短期内则相对有限。很多人存在一个误区,认为数据中心能创造大量就业机会。诚然,在建设阶段确实会创造不少岗位,但相较于其他同等规模的设施,这类数据中心在运营阶段对人力需求其实并不多。

It could be significant, now with the caveat that it could be significant over the longer term, less than the near term. I think a misconception that some people have is that data centers create a lot of jobs. They do create jobs in the construction phase, but oftentimes these facilities don't require a lot of humans to actually run them compared to other, you know, facilities of their size.

不过从长远来看,正如众多人工智能企业所主张的那样,随着相关技术的不断进步,它们必将推动经济增长并切实改善人们的生活质量。

But I think over the long term, you know, the case from the AI companies is that these technologies, as they advance, will lead to economic growth and to the real improvement of humans' lives.

举个例子,OpenAI的杰森·权举了一个调查案例:许多澳大利亚的小企业表示,使用相关工具后生产效率有所提升,工作耗时也减少了。他还提到ChatGPT在医学研究领域的应用。

So, for example, Jason Kwon from OpenAI gave the example of a survey, he said, in which a number of small businesses in Australia said that they're seeing productivity gains, they're saving time in the jobs they do. He referenced using ChatGPT for medical research.

这些企业认为,从长远来看,这类工具确实能带来巨大价值。不过,美国风险投资公司安德森·霍洛维茨最近发布的一项研究显示:虽然约一半的美国成年人会使用人工智能服务,但真正付费的用户比例却极低。

So the companies say, you know, this stuff will really provide a lot of value over the long term. On the other hand, there was just some research that came out from the US venture capital firm Andreessen Horowitz saying that we know that about half of adults in the US use AI services, but they found that just a tiny proportion actually pay for them.

这就引出了一个问题:这些人工智能工具究竟会成为类似“功能更强大的谷歌”那样的存在,还是仅仅作为便于人们开展研究的实用工具——目前大多数用户的使用方式也正是如此?它们又是否真的能引发产业结构的变革,带来经济与生产效率的提升呢?

So that leads to the question of whether these are gonna be newfangled, essentially Google on steroids. Are these gonna be just like fun apps you can do a lot of research with, which is how most people are using them now, or will they really lead to the kind of structural revolution and economic gains, productivity gains?

这些企业宣称正致力于实现所谓的“通用人工智能”,即开发出能力与人类相当甚至更胜一筹的AI系统。那么,这样的技术能否彻底革新各行各业、催生新的就业机会与产业呢?目前尚不得而知。虽然AI企业都持乐观态度,但这一切都还遥不可及。

The companies talk about reaching what they call artificial general intelligence, where the things would be as smart or smarter than humans. And so then does it revolutionize industries? Does it create jobs, booms and industries? We don't even know. That's what the AI companies would argue, but it's all very far away.

眼下有一个棘手难题:澳大利亚该如何吸引数千亿美元规模的人工智能投资?与此同时又要求OpenAI等企业加强合规管理、切实履行社会责任?这实在是个难题。听证会上还提到了版权法相关问题:如果澳大利亚实施更为严格的知识产权与版权保护政策,在美或其他地区开展业务更为便利的情况下,OpenAI等企业是否还会选择在澳大利亚建设数据中心并训练模型呢?这也是一个亟待解决的问题。

可以理解的是,政府希望放宽对某些公司的版权限制,而普通民众则并不希望如此。

Here's the big dilemma, and I'm not sure you can answer this question, but how does Australia attract potentially these hundreds of billions of dollars of AI investment while at the same time telling companies like OpenAI that it wants tighter controls and basically they need to behave a whole lot better? It's difficult. It's a real conundrum. You know, one of the things that came up in the hearing was copyright law. There were some questions about whether, if Australia had tighter IP protections and copyright law, would that lead OpenAI and others to not want to build data centers and train their models in Australia if it were easier to do it in the US or elsewhere? That's one issue. And you can understand that the government would want to, and its citizens would not want to loosen, you say, copyright restrictions for some of these companies.

另一个被提及的问题就是数据中心。有人问及塔斯马尼亚州一家数据中心公司建设数据中心一事,该项目似乎遭到了一些反对。OpenAI方面回应称,他们其实并不了解这一情况。

Another issue that came up was data centers. And someone asked about a data center construction by a data center company in Tasmania that apparently has faced some opposition. And OpenAI said, well, we're not actually aware of that.

实际上,我们平时使用的很多设施都是由这些数据中心公司建造的。不过他们也表示,澳大利亚确实是个颇具吸引力的数据中心市场——这里土地广阔、空间充裕、资源丰富,相较于该地区其他国家的政府而言对商业更为开放,基础设施也相当完善。

And oftentimes we are just using these facilities that these data center companies build. But they did say, you know, you can imagine Australia being an attractive market for data centers because there's a lot of land, there's a lot of space, there are resources, and it is, you know, fairly open to business compared to other governments, let's say, in the region, and there's good infrastructure.

因此不难想象,这里会成为众多公司建设数据中心的理想之地。但与此同时,我认为这些公司也会考量当地对数据中心建设的反对声音以及政策制定者的态度,这些因素无疑会起到阻碍作用。

So you can imagine it being a good, attractive destination for some of these companies to build these things. But at the same time, I think they would look at opposition to data centers, they would look at the stance, they would look at what policymakers are saying, and that could deter them, for sure.

没错,澳大利亚的国情与地理位置确实堪称数据中心蓬勃发展的绝佳之地。你说得对,如今反对的声音也日益增多:上周悉尼就有一个数据中心项目因遭到民众反对而被叫停,该项目原本计划建在学校和居民区附近。

Yeah, the circumstances and the geography of Australia does seem like the perfect destination for a data center boom. And you're also right, there is increasing opposition here. There was a data center that just got axed last week in Sydney due to community opposition. It was going to be right near a school and homes.

眼下世界各地都在热议这样一个问题:数据中心产业的繁荣究竟能给澳大利亚带来什么?仅仅是让大量大型数据中心落户这片土地就算收获了吗?还是说这其实蕴含着巨大潜力,能推动经济实现更高水平的发展、创造大量就业岗位,甚至催生出具备真正竞争力的本土人工智能产业呢?

But look, I know this question is being asked a lot right now in different countries around the world: What could Australia actually gain from a data center boom? You know, is the prize simply a lot of enormous data centers sitting on Australian soil? Or is there a real potential to turn this into something much, much bigger, with higher productivity, you know, loads of jobs and a genuinely competitive local AI industry?

我认为这种可能性确实存在。人们对这些技术感到担忧或持怀疑态度也很容易理解,因为相关技术带来的实际收益似乎还遥不可及。

I think there is that potential, and I think it's really easy to understand why people are nervous or skeptical of some of these constructions because the technology, the gains really do seem far off.

在日常生活中,如果你在办公室工作,或者身边有很多从事知识密集型行业的朋友和家人,你就能听到目前这项技术最实用的应用场景:人们用它来简化办公流程、节省制作PPT的时间、加快文档编写速度,或是完成以往难以实现的深度研究。

Now, in our day-to-day lives, if you're working in an office or if you have, you know, lots of friends and family who are working in the knowledge industry, you're hearing the best use cases right now for this technology. It's people using them to make their office tasks easier or to save time in creating PowerPoints or helping create documents faster or do deeper research that you couldn't do.

我认为那些正在使用这项技术的人最有可能意识到它长期以来的实用价值。

And I think that people who are maybe using it in that capacity would be the most prone to seeing how it could be useful over the long term.

即便是在如今已在办公室中应用该技术的众多人士当中,也有不少人对其发展速度心存疑虑,担心它最终能否真正惠及普通用户而非大型人工智能企业。

And even among many people who are using it now in the office, there's skepticism about how fast it will develop and whether it'll really benefit them and not the larger AI companies.

我认为当前对美国的大型科技企业而言是个极为艰难的时期。随着社交媒体对公众尤其是儿童造成负面影响的相关信息不断曝光,这些美国大型科技企业很难再让世人相信:它们所研发的产品能够改变世界、造福人类——这正是它们一贯的宣传说辞。

It's a very difficult time, I think, for big US tech firms. In the wake of some of the revelations about social media's harms, particularly to children, it's a really difficult time for big, particularly American tech companies to try to convince the world that they are building world-changing products that are gonna benefit humanity.

如今它们很难再这样宣称,尤其是当那些规模庞大的数据中心正在建设中,它们显然需要消耗大量资源,而带来的实际效益却似乎还很遥远。

That's what they argue. It's a really difficult time for them to say that, particularly when there's this visual manifestation of these huge data centers being built that appear to require a lot of resources and whose benefits seem far away.

眼下是个艰难时期。我认为澳大利亚和许多其他国家一样,都在思考:这项技术究竟能带来什么?能带来哪些益处?又会让我们自身及环境付出怎样的代价?在我看来,这项技术所能带来的潜在收益似乎还相当遥远。

It's a very difficult time and I think that Australia, like many places, is thinking about: What will this technology actually do? How will it benefit? What are the costs to us and to the environment? And I think that a lot of the potential gains seem quite distant.